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., Python). * Record of managing and analyzing large-scale genomics or population genetics datasets. * Demonstrated ability and willingness to work both independently and collaboratively. * Ability and
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languages (e.g., Python, R, SQL), in Linux environment, and HighPerformance Computing infrastructures, in handling workflow/workload managers and containers; High proficiency level in Python and relevant deep
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Technology, ITS Required Qualifications: Ph.D. in Computer Science, Library/Information Science, Knowledge Graphs / Linked Data in any discipline, or related field Proficiency in Python, and experience with
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Data, or related field Proficiency in Python, and experience with data analysis To Apply: Please send a cover letter, CV/Resumé, and 2-3 references to [email protected] , with the subject line
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Required: PhD in Bioinformatics, Computational Biology, Computer Science, or equivalent related field Strong programming skills (R and Python required; PyTorch/JAX/TensorFlow preferred) Demonstrated track
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epidemiology. Experience analyzing large cohort, registry, biobank, or omics datasets. Strong programming skills in R, SAS, Stata, or Python. Familiarity with survival analysis, longitudinal data analysis
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; experience with Python is also helpful (but not required). Experience with grant writing is a plus, as the Center seeks additional funding opportunities, which could support a funding extension for the postdoc
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MATLAB, Python, or similar platforms. Leads manuscript preparation for peer-reviewed journals and presents findings at national and international conferences. Contributes to grant writing and research
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/opioid signaling. Quantitative and data-analysis skills (e.g., R, Python) and experience with genomics or imaging pipelines. About the Department The Department of Dermatology is committed to providing
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graduate-level knowledge of spatial analysis, machine learning, large dataset management, and statistics or econometrics. Applicants must be proficient in R and/or Python. Advanced knowledge of R's and/or