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Argonne National Laboratory, a U.S. Department of Energy National Laboratory, has an opening for a Postdoctoral Appointee specialized in physics-informed machine learning at the Department
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approaches for mass spectrometry data, with artificial intelligence/machine learning (AI/ML) being a major focus. They will have an opportunity to lead and contribute to a range of exciting projects
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for machine learning/AI model development development using Pytorch, Tesnor Flow or similar platforms. Utilization of high-performance computational platforms. Writing and modifying scientific code in Fortran/C
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intereactions in the broad field of glycoprotein-based therapeutic design. Strong background and experience with applications of machine learning (especially Explainable Artificial Intelligence – XAI) is required
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Apply Now Job ID JR100614Date posted 10/12/2023 The Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates
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The Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate
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Details Title Postdoctoral Fellowship in Visualization and Machine Learning at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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Posting Title Postdoctoral Researcher – Machine Learning for Protein Design and Engineering . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working at NREL
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Details Title Postdoctoral Fellow in Computer Science: Machine Learning Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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learning and its applications in nuclear engineering, national security, nuclear safeguards, or relevant fields. The successful candidate will participate in ongoing research in machine learning