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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 hours ago
General Summary of the Position Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display/20062865 ). The Zhou Lab at UMass Chan Medical
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of Microcomputers, Introduction to Computer Information Systems, Introductory Programming in Python, and Data Analytics Courses. Required Qualifications Candidates must hold a minimum of a Master’s degree in the
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data collection using the SigCap Application. Data processing and analysis in Python. Assess how environmental conditions and context (weather, indoor/outdoor settings) influence reception quality
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data collection using the SigCap Application. Data processing and analysis in Python. Assess how environmental conditions and context (weather, indoor/outdoor settings) influence reception quality
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include: -Other experience in mass spectrometry -Strong statistical and analytical experience with data treatment -Coding experience in either R or Python -Other experience in analytical chemistry and/or
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, ideally with experience in generative models, reinforcement learning, or high-dimensional optimization. Programming proficiency in languages such as Python. Ability to work both independently and in a team
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policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated experience working with
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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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