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a related discipline. Strong programming skills in Python, R, or similar languages. Experience working with large biological datasets. Familiarity with Linux-based computing environments and high
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oral and written communication skills, and the ability to work effectively with a wide range of constituencies in a complex and diverse setting Proficiency with statistical computing (e.g., R, Python or
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and high-performance or GPU-accelerated computing environments. Applying rigorous methods for external validation, transportability, subgroup performance, fairness, uncertainty quantification, and
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algorithms, pangenome graphs, or population genetics Deep learning for sequence, EHR, or imaging data High-performance and GPU computing environments Excellent candidates from adjacent quantitative
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Technology Studies. Preferred focus areas: critical computing/artificial intelligence studies; labor and automation technologies; medicine/alternative medicine; chronic illness and/or disability studies
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Show all breadcrumbs Wu Tsai Postdoctoral Fellowships (interdisciplinary neuroscience) Tuesday, August 4, 2026 Location New Haven, Connecticut Salary $80,000 Deadline October 1, 2026 Website https
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, 2021) in kidney cancer. The ideal candidate will have a strong background in computer/data science (including statistics), knowledge of R and python, and experience with high performance computing
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skills, and the ability to work effectively with a wide range of constituencies in a complex and diverse setting ● Proficiency with statistical computing (e.g., R, Python or C/C
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is desired: statistical and theoretical population genetics, high performance computing environments, statistical genetics. The ideal candidate will also demonstrate: A high level of drive and
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, such as facilities, equipment , computing resources, field sites, etc. o Provide a brief description of the faculty advisor’s mentoring philosophy and approach, including how they foster an