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Posting Date: 11/01/2024 Postdoctoral Associate position on Informatics, Data Science and Machine Learning in the Dr. Ohno-Machado Lab at Biomedical Informatics and Data Science, Yale University Job
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focused on the challenge of accelerating ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track
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ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track record in conducting machine learning research
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, high-performance computing (HPC), dimensionality reduction, and machine learning. Your responsibilities will include publishing research in leading conferences and journals, contributing to grant
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position within a Research Infrastructure? No Offer Description The research proposal aims to use machine learning, including large-scale language models, to analyze large datasets of smaller Solar System
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are hiring a postdoctoral researcher to work on rethinking extraction methods at one of OCP Group’s production sites. The project will rely on Operations Research and Machine Learning approaches. The objective
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studying deformation mechanisms in refractory alloys as via atomic-scale calculations as well as application of machine learning to materials discovery The ideal candidate will have the following
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the Chemistry Department of NYU is looking for a talented post-doctoral associate to perform interdisciplinary work on studying RNA structure, RNA-protein interactions, and dynamics, with a machine learning and
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and application of novel AI, machine learning, and statistical methods for biomedical and health data. The candidate will engage in both independent and collaborative research, driving innovative
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intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet