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with computational environments for ’omics data manipulation (command line, Python, R, etc.) * Deep knowledge in at least one relevant subdiscipline, i.e. bioinformatics, microbiology, microbial ecology
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for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Managing and mentoring
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, Python, and SAS or Stata Demonstrated expertise in analysis of claims data Clear scientific writing and communication, an ability to work both independently and in teams, and a track record of publications
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demonstrated proficiency in programming, specifically in Python and R, as well as experience with modern deep learning frameworks like PyTorch or TensorFlow. In addition to technical skills, the candidate must
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. Basic Qualifications An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field, as well as superb programming (Python, shell scripting) and
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R a plus; Familiarity with Python a plus; and Doctorate degree preferred. Additional Information Appointment End Date: 1 year from Date of Hire Standard Hours/Schedule: 35 hours per week Compensation
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Strong programming skills in Python and frameworks like TensorFlow Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using
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Strong programming skills in Python and frameworks like TensorFlow Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using
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other complex databases using GitHub Maintain databases using R, Python, and SQL in collaboration with members of the research team Create and link customized databases and analytic datasets in UNIX
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describing: a. Your interest in the position b. The start and end dates for which you would be able to fill this position c. Your familiarity with programing languages (e.g., Stata, SAS, R, Matlab, Python) d