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development of advanced cryogenic calorimeters and associated electronics for the next-generation neutrinoless double-beta decay search. Support the development of Artificial Intelligence (AI) algorithms
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platforms a plus Experience applying machine learning, artificial intelligence, and large language models to research a plus The anticipated start date is September 1, 2026. The postdoctoral position incoming
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Qualifications The prospective postdocs should have a PhD degree in a related field, and have research experience in artificial intelligence, machine learning, bioinformatics, and computational biology. A strong
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of electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in building
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fields: Agentic AI, Large Language Models, Artificial Intelligence, Biomedical Ontologies, Biomedical Knowledge Graphs, Computational Biology, Bioinformatics, Biomedical Informatics or a related field
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) Laboratory. The group develops clinically grounded artificial-intelligence and data-science methods to derive scalable digital biomarkers from echocardiography, cardiac computed tomography, electrocardiography
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Post Doctoral Scholar in AI for Geophysics/Geoscience position. This position is supported through the NSF Collaborations in Artificial Intelligence and Geosciences Program. The position is based in
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artificial intelligence. Potential research topics include the mathematical and statistical analysis of modern generative models, particularly diffusion- and flow-based models, as well as their applications
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Paravision Micro-CT, optical imaging, photoacoustic imaging, PET, or SPECT Artificial intelligence or machine learning for biomedical image analysis Python, MATLAB, C++, or similar scientific programming
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, and post hoc support for laboratory studies and provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal