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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
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. Successful applicants should have a Ph.D. degree in Epidemiology (or biostatistics or related field). Strong programming skill in R is required, and experience in SQL or other databases would be welcome
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statistical programming. Strong programming skills in R are required. Required Application Materials: A cover letter, CV, a short description of research interests, and contact information of three referees
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or expertise with flow cytometry and flow analysis programs are required. Prior exposure to principles of allergic responses is desired but not required. Experience with RNA library preparation, RNA sequencing
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programming skills in Python or similar languages (e.g. Julia), and familiar with 1-2 industrial geospatial tools (e.g. SKUA-GOCAD, LeapFrog, ArcGIS, QGIS, or others). Being a quick learner with demonstrated
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transcriptomics techniques especially spatial transcriptomics. Experience with mass spectrometry is an advantage. Background in breast cancer biology is an advantage. Strong programming skills in languages such as