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to appoint a postdoctoral fellows in April 2024. We are looking for candidates with interests in the cross section of atomic molecular optical physics and quantum simulation and computation Candidates should
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will both upskill leaders and advance the field by creating certificates that validate the skills needed to lead and support place-based partnerships. Place-based partnerships – networks of people and
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lead to co-authoring papers with the PI.More information on Professor Kreindler can be found at this link: https://sites.google.com/site/gabrielkreindler Responsibilities will include: • Designing
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conceptually rich analyses of case studies of preclinical biomedical research on sex-related variables, help lead site-based interviews with practicing scientists, and communicate about research in a range of
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uncertainty in Gaussian process regression with active learning. Resulting models are implemented in LAMMPS and are used to perform reactive dynamics simulations of billions of atoms. Qualifications: Experience
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), funding, customers, supply chains, business plan, and a visionary impact roadmap. Fellows will lead a team (often including one or more of a ladder faculty member adviser, external advisers, Harvard
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, national malaria programmes, the World Health Organization, the Africa Centre for Disease Control and Prevention and other partners. The successful applicant will lead work in selected countries in sub
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large-scale genomic analyses is a new research interest. Theory of Differential Privacy. The selected candidate will be expected to lead research in privacy-preserving data analysis/machine learning
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Postdoctoral Fellow - Trustworthy AI Lab 2 - Digital, Data, and Design Institute, Harvard University
expected to lead research in methodological and applied research probing privacy issues in the training and deployment of machine learning models, with a particular focus on generative models (e.g., GANs
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join our team as part of the Human Frontier Science Program-funded project entitled “Reconstructing water to land transitions in arthropod evolution – combining atoms, genes, and fossils