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strong technical expertise in deep learning, such as models for image segmentation, classification, multi-modal processing, foundation models, or agentic frameworks. An extensive background in computer
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strategies. Duties and Responsibilities Design, implement, and evaluate deep learning models for spatiotemporal data, with an emphasis on medium-scale foundation models. Leverage model embeddings in causal
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | 2 months ago
Minimum: USD $62,232.00/Yr. Salary Maximum: USD $75,564.00/Yr. GENERAL SUMMARY OF POSITION: Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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About the Role This is a full-time Postdoctoral Research Associate post for 2 years, funded through a Medical Research Council (MRC) grant. The postholder will lead or support an imaging-genomics
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Wayne State University is searching for an experienced Postdoctoral Scholar - Department of Obstetrics & Gynecology at its Detroit campus location. Wayne State is a premier, public, urban research
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(e.g. use of OpenRouter, vLLM). Experience training LLMs and deep learning in general is a plus; good communication skills in oral and written English. Contributions to OpenML or other dissemination
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or physics Generative AI/transformers, agentic AI, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and Python; best
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About the Role This is a full-time Postdoctoral Research Associate post for 2 years, funded through a Medical Research Council (MRC) grant. The postholder will lead or support an imaging-genomics
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that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics