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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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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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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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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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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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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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phenotyping, sequencing, gene editing, and the isolation and characterization of extracellular vesicles is desired. Proficiency in bioinformatics tools and programming languages (e.g., R, Python) for data
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work on a priority research program in which individuals are assessed with functional MRI, behavioral, and symptom measures before, during, and after treatment. Treatment includes selectively targeted
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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