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https://todaymatchprediction.com
todaymatchprediction
todaymatchprediction
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Newest job postings for todaymatchprediction
via Upwork
posted_at: 3 days agoschedule_type: Contractor and Temp worksalary: 30–40 an hourwork_from_home: 1
We are seeking a talented data scientist proficient in machine learning and sports analytics to address a specific bug within our existing algorithm for predicting football match outcomes. The current algorithm has been performing well overall; however, we have identified a bug causing inaccurate predictions for matches played in adverse weather conditions, particularly heavy rain. The candidate... will be responsible for identifying the root cause
We are seeking a talented data scientist proficient in machine learning and sports analytics to address a specific bug within our existing algorithm for predicting football match outcomes. The current algorithm has been performing well overall; however, we have identified a bug causing inaccurate predictions for matches played in adverse weather conditions, particularly heavy rain. The candidate... will be responsible for identifying the root cause of this issue, devising solutions to mitigate the bug's impact, and implementing fixes to ensure accurate predictions regardless of weather conditions.
Responsibilities:
-Bug Investigation: Conduct a thorough analysis of the existing algorithm to identify the specific issue causing inaccurate predictions for matches played in heavy rain.
-Data Examination: Review historical match data to understand patterns and correlations between adverse weather conditions and prediction inaccuracies.
-Root Cause Analysis: Identify the root cause of the bug, whether it stems from data preprocessing, feature selection, model training, or other factors.
-Solution Design: Devise strategies to address the identified bug and mitigate its impact on prediction accuracy. This may involve adjusting model parameters, incorporating additional features, or implementing specific handling mechanisms for adverse weather conditions.
-Implementation: Implement the proposed fixes and modifications to the algorithm, ensuring compatibility with existing codebase and maintaining overall performance.
-Testing and Validation: Conduct rigorous testing and validation to verify the effectiveness of the bug fixes and ensure accurate predictions for matches played in heavy rain.
-Documentation: Document the bug-fixing process, including the identified bug, proposed solutions, changes made to the algorithm, and validation results.
Requirements:
-Proficiency in Python programming language and relevant libraries (e.g., pandas, scikit-learn, TensorFlow, Keras).
-Strong background in machine learning, statistical modeling, and data analysis.
-Experience working with sports data or football analytics is highly desirable.
-Demonstrated experience in troubleshooting and debugging issues within predictive algorithms.
-Excellent problem-solving skills and attention to detail.
-Effective communication skills to collaborate with stakeholders and present findings.
-Ability to work independently and efficiently within a defined timeframe.
-Availability for hourly-based work and willingness to provide regular progress updates Show more details...
Responsibilities:
-Bug Investigation: Conduct a thorough analysis of the existing algorithm to identify the specific issue causing inaccurate predictions for matches played in heavy rain.
-Data Examination: Review historical match data to understand patterns and correlations between adverse weather conditions and prediction inaccuracies.
-Root Cause Analysis: Identify the root cause of the bug, whether it stems from data preprocessing, feature selection, model training, or other factors.
-Solution Design: Devise strategies to address the identified bug and mitigate its impact on prediction accuracy. This may involve adjusting model parameters, incorporating additional features, or implementing specific handling mechanisms for adverse weather conditions.
-Implementation: Implement the proposed fixes and modifications to the algorithm, ensuring compatibility with existing codebase and maintaining overall performance.
-Testing and Validation: Conduct rigorous testing and validation to verify the effectiveness of the bug fixes and ensure accurate predictions for matches played in heavy rain.
-Documentation: Document the bug-fixing process, including the identified bug, proposed solutions, changes made to the algorithm, and validation results.
Requirements:
-Proficiency in Python programming language and relevant libraries (e.g., pandas, scikit-learn, TensorFlow, Keras).
-Strong background in machine learning, statistical modeling, and data analysis.
-Experience working with sports data or football analytics is highly desirable.
-Demonstrated experience in troubleshooting and debugging issues within predictive algorithms.
-Excellent problem-solving skills and attention to detail.
-Effective communication skills to collaborate with stakeholders and present findings.
-Ability to work independently and efficiently within a defined timeframe.
-Availability for hourly-based work and willingness to provide regular progress updates Show more details...
via University Of Miami Jobs
schedule_type: Full-time
Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet...
Research Associate Professor in Subseasonal to Decadal Climate Prediction
Position Description:
The University of Miami Rosenstiel School of Marine, Atmospheric
Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet...
Research Associate Professor in Subseasonal to Decadal Climate Prediction
Position Description:
The University of Miami Rosenstiel School of Marine, Atmospheric and Earth Science invites applications for a Research Associate Professor position in the field of Subseasonal to Decadal Climate Prediction. This position offers a unique opportunity to contribute to cutting-edge research in climate science, working alongside a diverse and talented group of scientists and educators.
Responsibilities:
• Conduct original research in the field of subseasonal to decadal climate prediction, with an emphasis on advancing our understanding of climate variability and change.
• Develop and apply state-of-the-art climate models and observational datasets to address research questions related to climate prediction and predictability.
• Publish research findings in peer-reviewed journals and present results at national and international conferences.
• Collaborate with colleagues and external partners on interdisciplinary research projects.
• Mentor graduate students and postdoctoral researchers, fostering their growth and development.
• Seek external funding to support research activities and projects.
• Utilize your experience in science communication and outreach to disseminate research findings to a broader audience, including the general public and policymakers.
• Apply your research-to-operations experience to bridge the gap between cutting-edge climate research and practical applications, contributing to real-world decision-making and solutions.
• Demonstrate a proven record of successful collaboration with governmental organizations, working on climate-related projects and initiatives, and contributing to the development of climate prediction products based on scientific research.
• Leverage your experience with a cooperative institute to enhance collaborative research efforts and strengthen partnerships between academia and government agencies.
Qualifications:
• Ph.D. in Atmospheric Science.
• Over 10 years of experience in climate research and prediction.
• A strong record of peer-reviewed publications in climate science.
• Expertise in climate science communication and outreach.
• Expertise in climate modeling, observational data analysis, or related areas of climate prediction.
• Proven ability to secure external research funding.
• Effective communication skills, both written and oral, to disseminate research findings and collaborate with a diverse community of scientists and students.
• A commitment to promoting diversity, equity, and inclusion in research and education.
• A demonstrated ability to collaborate with governmental organizations to bridge the gap between research and applications.
The application material should include:
• Letter of interest that describes your anticipated contributions to scholarship, teaching, and service in the Rosenstiel School (suggested limit of 2 pages)
• Current CV
• Research statement (2 pages)
• Teaching statement (2 pages)
• A statement of commitments and contributions to diversity, equity, and inclusion (1 page)
• The names of three colleagues who can provide us with a reference
The Rosenstiel School of Marine, Atmospheric, and Earth Science at the University of Miami is a world leader in Earth sciences. Fundamental and interdisciplinary research are focused on understanding the chemical, physical and biological processes controlling the evolution of the marine, atmospheric and terrestrial environments, and the associated human-environment interactions.
The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.
Job Status:
Full time
Employee Type:
Faculty Show more details...
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet...
Research Associate Professor in Subseasonal to Decadal Climate Prediction
Position Description:
The University of Miami Rosenstiel School of Marine, Atmospheric and Earth Science invites applications for a Research Associate Professor position in the field of Subseasonal to Decadal Climate Prediction. This position offers a unique opportunity to contribute to cutting-edge research in climate science, working alongside a diverse and talented group of scientists and educators.
Responsibilities:
• Conduct original research in the field of subseasonal to decadal climate prediction, with an emphasis on advancing our understanding of climate variability and change.
• Develop and apply state-of-the-art climate models and observational datasets to address research questions related to climate prediction and predictability.
• Publish research findings in peer-reviewed journals and present results at national and international conferences.
• Collaborate with colleagues and external partners on interdisciplinary research projects.
• Mentor graduate students and postdoctoral researchers, fostering their growth and development.
• Seek external funding to support research activities and projects.
• Utilize your experience in science communication and outreach to disseminate research findings to a broader audience, including the general public and policymakers.
• Apply your research-to-operations experience to bridge the gap between cutting-edge climate research and practical applications, contributing to real-world decision-making and solutions.
• Demonstrate a proven record of successful collaboration with governmental organizations, working on climate-related projects and initiatives, and contributing to the development of climate prediction products based on scientific research.
• Leverage your experience with a cooperative institute to enhance collaborative research efforts and strengthen partnerships between academia and government agencies.
Qualifications:
• Ph.D. in Atmospheric Science.
• Over 10 years of experience in climate research and prediction.
• A strong record of peer-reviewed publications in climate science.
• Expertise in climate science communication and outreach.
• Expertise in climate modeling, observational data analysis, or related areas of climate prediction.
• Proven ability to secure external research funding.
• Effective communication skills, both written and oral, to disseminate research findings and collaborate with a diverse community of scientists and students.
• A commitment to promoting diversity, equity, and inclusion in research and education.
• A demonstrated ability to collaborate with governmental organizations to bridge the gap between research and applications.
The application material should include:
• Letter of interest that describes your anticipated contributions to scholarship, teaching, and service in the Rosenstiel School (suggested limit of 2 pages)
• Current CV
• Research statement (2 pages)
• Teaching statement (2 pages)
• A statement of commitments and contributions to diversity, equity, and inclusion (1 page)
• The names of three colleagues who can provide us with a reference
The Rosenstiel School of Marine, Atmospheric, and Earth Science at the University of Miami is a world leader in Earth sciences. Fundamental and interdisciplinary research are focused on understanding the chemical, physical and biological processes controlling the evolution of the marine, atmospheric and terrestrial environments, and the associated human-environment interactions.
The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.
Job Status:
Full time
Employee Type:
Faculty Show more details...
via Ladders
schedule_type: Full-time
The Active Prediction Integration team focuses on the integration of prediction and planning to achieve safe and high-performance autonomous driving. The team is responsible for one of the core algorithmic components of the AI stack that combines basic logic/physics models with advanced uncertainty-aware ML prediction models to reason about how the world evolves in response to candidate robot motions. We are looking for a manager with a strong background
The Active Prediction Integration team focuses on the integration of prediction and planning to achieve safe and high-performance autonomous driving. The team is responsible for one of the core algorithmic components of the AI stack that combines basic logic/physics models with advanced uncertainty-aware ML prediction models to reason about how the world evolves in response to candidate robot motions. We are looking for a manager with a strong background in uncertainty-aware motion prediction and planning, and experience with both machine-learned as well as first-principles (e.g. physics-based) motion and logical reasoning models. The candidate will be responsible for working with the team to set the technical direction, evolve the current architecture and break new ground in further unification of planning, prediction, and perception. The team collaborates closely with multiple groups across Planner and Zoox including ML behavioral modeling, search/optimization, cost design... prediction and perception. As a leader of the Active Prediction Integration team, the candidate will interact and coordinate efforts across multiple such teams and play a critical role in the evolution of the AI stack at Zoox. If you are passionate about working on fundamental robotic decision-making architectures and their deployment on a novel robot platform, we would like to hear from you. Responsibilities Lead the design and development of integrated prediction and planning architectures Set the short and long-term technical direction for the team and collaborate on broader, company-wide directions Collaborate with the team members in technical design considerations, implementation, and on-vehicle testing Coordinate cross-functional initiatives with other teams across Planning, Prediction, and Perception Grow the team by partnering with recruiting and guide the continued professional development of team members Qualifications Extensive experience with AI and/or Robotics Experience with current ML architectures and methodologies Excellent communication and problem-solving skills Experience with managing highly-technical teams of 5+ engineers Relevant experience in the area of autonomous driving with a track record of delivering results in a production environment MS or PhD in Computer Science (or a related field) Bonus Qualifications Experience with GPU/CUDA C++ architectures and algorithms Compensation There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $220,000 to $330,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills
Show more details...
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