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at CERI under supervision of Dr. Goebel. and should contribute broadly to induced seismicity research. Specific research topics include seismicity analysis, machine learning, reservoir modeling, geothermal
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, for that reason we are looking for someone who has: Documented research experience in the design of therapeutic antibody modalities Documented research experience in AI/machine learning/deep learning Documented
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Term Salary Grade SL1 Posting Detail Information Position Summary The Shi group is seeking motivated Postdoctoral Associateswith an excellent work ethic and background in molecular simulation and machine
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educational programs, we are now seeking a postdoctoral researcher to work on the development of adaptive interventions to promote life-long learning. The position is full-time for three years, 1 september
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The postdoc’s work will involve research within dynamical systems theory and network theory, with applications in mathematical modeling in neuroscience and in machine learning. In addition, a smaller amount of
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of a senior faculty member who serves as a mentor for the postdoctoral appointee. Additional Department Summary: The Electrical and Computer Engineering Department at The University of Alabama is seeking
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 13 days ago
acquisition Good communication skills in English and ability to collaborate in interdisciplinary teams Desirable qualifications Experience with machine learning methods for regression or signal interpretation
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of Mechanical and Aerospace Engineering at UCSD invites applications for a postdoctoral fellowship funded by the Gordon and Betty Moore Foundation focused on the topic of machine learning-based ocean state
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these fundamental molecular machines, microtubules built from ?- and ?-tubulin proteins, the lab seeks to answer open questions about how microtubules adapt and specialize in human cells and across diverse organisms
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). - Familiarity with machine learning principles and generative/classification models (PyTorch Lightning, torch, scikit-learn, etc.), as well as data/model analysis methods (PCA, t-SNE, etc.). - Proficiency in