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principals to problem solve work. ● Ability to maintain detailed records of experiments and outcomes. ● Ability to quickly learn and master computer programs, databases, and scientific applications
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or MD/PhD Strong programming skills, preferably in R and/or Python Previous expertise and/or interest in single-cell sequencing technologies, bioinformatics, spatial analyses, and generative AI is desired
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environment and supports postdoctoral scholars throughout their postdoc with mentoring and training programs, seminar series, and annual retreats. The Huttenhain lab is committed to foster an inclusive
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those interested in exploring industrial and entrepreneurial career trajectories. Required Qualifications: Ph.D. in a physical science and engineering field Strong programming background Experience in
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an individual with strong statistical and computing backgrounds. Successful applicants should have a Ph.D. degree in epidemiology (or biostatistics or a related field). Strong programming skills in R are required
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families and to provide timely, actionable insights that inform policies and programs that help every child thrive from the start. The postdoctoral scholar will be advised by Dr. Philip Fisher, the Diana
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knowledge in bioinformatics, machine learning, statistics and programming skills (R, Python, or MATLAB) are required. The ideal candidate should demonstrate a record of publications in the area. Knowledge in
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, mathematics, physics, or a related field. The ideal candidate should demonstrate a record of publications in the area. Strong knowledge in machine learning, statistics and programming skills (R, Python
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required for leadership positions in undergraduate and graduate medical education. This fellowship program has trained surgical residents in education for over fifteen years and has established a track
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Fellow will also lead department efforts to plan, create, and deploy course-level and curriculum-level assessments of quantitative skills and accessibility. This is a unique opportunity to join an exciting