130 developer "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions at Rutgers University
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Position Details Position Information Recruitment/Posting Title PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science Department Quantitative Biomedicine Inst Salary
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research and innovative training and supports collaborative opportunities for investigators across New Jersey and beyond, advancing the translation of knowledge to impact policy and practice. The Institute
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate for the Center for Climate, Health and Healthcare (CCHH) Department Institute for Health, Health C Salary
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate | Center for Healthy Aging Research (CHAR) Department Institute for Health, Health C Salary Details A minimum of
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theoretical chemistry, machine learning and quantum information science. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in
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development of advanced sensor systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The
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) Comparative Morphology and Machine Learning: Apply shape-correspondence and machine-learning approaches, including spectral/graph-based surface alignment and autoencoder-based shape extraction, to compare limb
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) Comparative Morphology and Machine Learning: Apply shape-correspondence and machine-learning approaches, including spectral/graph-based surface alignment and autoencoder-based shape extraction, to compare limb
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of small-molecule drugs, nanomaterials/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning
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of small-molecule drugs, nanomaterials/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning