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circuit design, the development and application of novel algorithms and machine learning/AI techniques for extracting insights from biological data sets (genomics, proteomics, imaging, neuroscience), and
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, Python, Julia, and/or MATLAB Familiarity with machine learning methods and algorithmic modeling for large datasets Experience with LaTeX, Unix/Linux Evidence of outstanding academic achievement Familiarity
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, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300 H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding
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Science and Engineering, or a related area is required. The position will involve developing models and algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research
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computational research needs in academic departments across the university, including faculty, professional research staff, postdocs, graduate students, and undergraduate students. Participate in and, in some
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must have received their Ph.D. (or equivalent) generally after September 1, 2016. Candidates who are currently enrolled in a Ph.D. program or employed as postdocs are not eligible to apply. Fellowships
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submissions in accordance with established processes and in an efficient and timely manner (following up and/or assisting with PIs and reviewers as needed) • Develop and distribute IACUC meeting agenda's
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to ensure their completion in a timely manner. Approve bi-weekly hours of financial assistant in TAM. Hire, onboard, and assist Senior Research Specialists, Postdocs, and IES faculty visitors. Work with HR to
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equivalent experience (e.g. graduate school or industry experience). • Substantial experience coding in Python and R. • Strong understanding of algorithms, data structures, and computational theory
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Values. The teaching will likely involve running a senior thesis seminar rather than teaching a traditional course, subject to approval of Princeton's Office of the Dean of the Faculty. The postdoc will