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seekinga Postdoctoral Research Fellow to work on projects related to molecular design including small molecules and proteins using biophysics and machine learning. Responsibilities* The selected candidates
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to generate and publish high-impact machine learning research. Collection, curation, and maintenance of neural datasets Building lab equipment and software infrastructure for neural engineering experiments
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and computer scientists at Brookhaven. You will be professionally mentored by Dr. Judith Yang and Dr. Sooyeon Hwang and receive guidance from Prof. Paul Voyles (U. Wisconsin-Madison) and Prof. Murray
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publications in image processing, computer vision, machine learning, natural language processing or other AI fields. Excellent English communication skills (written and oral). ** About the Fellowship
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other advanced STEM techniques, such as 4D-STEM, as applied to amorphous materials. You have familiarity with artificial intelligence (AI) and machine learning (ML) methodologies and interested in
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Computational Methods: ab initio molecular dynamics simulations, development of machine learning, and reaction rate theory and modeling Research: Project design, execution of calculations, data analysis
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Machine Learning and Artificial Intelligence) and/or visualization methods. Specific possible expertise areas include integration and analysis of heterogeneous electronic health records, natural
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performance analysis of analytical to experimental data Desired Qualifications* Machine learning expertise to analyze radiology images and histology, to detect ossification, analyze soft and hard tissue micro
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(multiple omics, NGSeq, Neuroimaging, text data) with Machine Learning and AI techniques. He actually leads a group with 4 PhD students (1 ITN PhD student) 3 PostDoc Students, and 3 Research Assistants, with
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your specific interest in the position and outline skills and experience that directly relate to this position. Summary The Machine Learning in Neurosurgery (MLiNS) Laboratory in the Department