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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate, Multiple Vacancies Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department RWJ
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internal equity. Pay Range: $79,056 - $81,053 The Mignot Lab (https://www.mignotlab.com(link is external) ) is seeking several postdoctoral fellows or staff to join our group studying brain autoimmunity. We
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of an extension, subject to funding. You will apply and develop cutting-edge machine learning methods to integrate and analyse multi-omic data to identify disease phenotypes. A key aspect of the role is to bridge
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 21 hours ago
. The researcher will gain an educational experience in multi-scale computational modeling and machine learning of mechanical behavior of high temperature alloys. They will be a part of interdisciplinary team and
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of machine learning theories and algorithms; inter-disciplinary background; A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered
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analysis, computer vision, or machine learning, with a clear interest in developing image analysis algorithms and an affinity with medical topics. Good communication and organizational skills are essential
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the production of the CBC catalog. The successful candidate is expected to have strong analytical skills and experience with signal processing, Bayesian statistics and machine learning. Exemplary
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. Desirable experience in AI-assisted image analysis, machine learning, computational modelling, or building predictive models from biological imaging or cell–material interaction datasets. Strong experience in
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microscopy, tissue culture, biochemistry, physiology, or biophysics. Enthusiasm and commitment to pursue novel research areas and develop new techniques and approaches. Team player with an interest in learning
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& Machine Learning (AI/ML), data science, or related fields. The role focuses on applying advanced biomedical, translational, and computational methods to address public health challenges and promote health