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wide range of skills, backgrounds, and interests spanning these topics. We are looking for a postdoctoral fellow with a PhD degree in Genetics, Statistics, Computer Science, Applied Math or related
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activities for undergraduate and graduate students. Qualifications: 1. A Ph.D. in Neuroscience, Molecular Biology, Genetics, Computer Science, or other relevant scientific discipline is required. 2. Basic
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, and climate scientists. ● Contribute to open-source code and reproducible pipelines. Basic Qualifications ● PhD (completed or near completion) in Statistics, Biostatistics, Data Science, Computer
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computational bio/neuroscience principles with modern machine learning techniques. Basic Qualifications Ph.D. in a relevant field (e.g., computer science, ML, computational neuroscience, bioengineering
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Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health-related datasets. Additional
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substance abuse across the world. Basic Qualifications Ph.D. in Statistics, Computer Science, Operations Research, or Electrical Engineering at time of appointment is required. The appointment will be
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, engineering, applied mathematics, computer science, or a closely related field is preferred. Candidates should demonstrate a strong record of research and expertise relevant to one or more aspects of BHEX
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from fields across the social sciences (especially, but not limited to, economics, sociology, and political science). Deadline Month : Varies by program Description : Postdoctoral Fellowships from the
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Biology, Computer Science, or a related field is required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras
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Science, Statistics, Computer Science, Epidemiology, Environmental Health, or related field. Additional Qualifications Demonstrated expertise in large scale analysis and familiarity with health-related