371 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Cardiff-University" positions at Harvard University in United States
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generative AI-based tools. Leverage recent breakthroughs in machine learning and natural language processing to build, test, and deploy advanced algorithmic tools that underpin rigorous empirical research in
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modern spike sorting toolkits, machine learning or statistical modeling of neural data, and reproducible code practices (version control, documentation). · Background in neurodevelopmental
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such as: Causal inference and the design and analysis of experiments Reinforcement learning and sequential decision-making Analysis of complex systems, networks, and large-scale data Machine learning
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data using python. Report results using a variety of scientific, word processing, and presentation platforms. Maintenance and cleaning of additional laboratory equipment and glassware. May instruct other
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, Excel, Outlook; must be able to learn new computer applications. To be successful in this role the individual will need to possess the following skills and competencies: Strong attention to detail and
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are looking for people who are/have: Strong computer and analytical skills including extensive prior experience with Excel, and knowledge of PowerPoint and Word Highly organized and detail oriented with strong
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2). Vascular network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering The Disease Biophysics Group is a creative, transdisciplinary group of engineers
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, and AI/machine learning would be helpful for the role. Experience with participant recruitment and retention as well as clinical human subject studies is a plus. Special Instructions Application
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and Harvard’s team and Intercollegiate Ethics Bowl. Travel with Ethics Bowl team to regional and national competitions, as needed. May teach independent study course, as approved through a partnering
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astrophysics, exotic core-collapse supernovae, and machine learning methods for time series analysis. A PhD in Physics, Astronomy, or a closely related field is required. The position will entail work on a