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Field
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About the Position We are recruiting a Postdoctoral Research Associate to join Tom Hartvigsen’s research group in UVA’s School of Data Science. The postdoc will work on developing machine learning
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and apply AI/ML techniques (e.g., transformer-based models, tokenization, embeddings) to HEP analysis Communicate results internally and externally through talks, notes, and publications Position
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate (2) Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department EOHSI Overview With its
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment
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scanning, analyzing data, presenting at conferences, and publishing papers, as well as helping PhD students with the same tasks. Approximately 70% effort will be dedicated to personal projects and 30
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manipulations, molecular biology, and behavioral analysis. Data Analysis Uses genetic models, imaging, electrophysiology, in vivo manipulations, molecular biology, and behavioral analysis to answer the research
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Additional Information: BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post
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in animal models contribute to behavior and disease. The Ideal Candidate will have: A PhD in neuroscience or related discipline Prior experience in studying neural circuits Expertise with at least some
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graduates of PhD programs in statistics, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research