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candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant
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foundations in modern AI/ML and the ambition to develop new AI approaches for high-impact problems in cellular and protein computational biology. This role focuses on applying modern AI/ML methods to protein
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Details Title Postdoctoral Fellowship Position in Visual Computing at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Sciences
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applying modern AI/ML methods to protein and cellular biology, including protein structure prediction, protein–protein and small-molecule–protein docking, cell state prediction from large-scale
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and MIT . Research activities for the Pre-Doctoral Research Fellow include: Organizing and conducting interviews of stakeholders. Conducting background research. Collecting, preparing, and analyzing
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Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for
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intersection of machine learning, neuroscience, and computational biology. This role centers on computational neurobiology and the use of modern AI/ML methods to model brain circuits and neural activity. In
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commitment, the external finalist for this position will be required to complete a questionnaire regarding misconduct and Harvard will make parallel inquiries to his/her/their current and former employers
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to ambitious research at the intersection of machine learning, neuroscience, and computational biology. This role centers on computational neurobiology and the use of modern AI/ML methods to model
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-generation sequencing ( NGS ) data analysis, workflow automation, and cloud computing. This role will support research and production environments where reproducibility, scalability, and performance are