175 parallel-computing-numerical-methods Fellowship research jobs at Harvard University
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (Park Lab) School Harvard Medical School Department/Area Biomedical Informatics Position Description The candidate will have the
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Health Resources in Action: Charles A. King Trust Postdoctoral Research Fellowship Program – Basic and Preclinical Science Eligibility: By the funding start date, applicants must hold a PhD, MD, DMD
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Department of Energy: Oak Ridge Institute for Science and Education (ORISE): Intelligence Community (IC) Postdoctoral Research Fellowship Program Eligibility: US citizenship required; PhD received
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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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candidate will participate in a NIH grant-funded project on optimism and longevity. The research involves conducting both primary data collection exploring new methods for measuring optimism (or other
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candidate will participate in a NIH grant-funded project on optimism and longevity. The research involves conducting both primary data collection exploring new methods for measuring optimism (or other
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of causal inference and methods to the implementation of established causal inference approaches to support public health and clinical decision making. The focus will be on HIV research. Application Details
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computational analysis of functional genomics datasets with an emphasis on single-cell omics. This person will develop new computational methods to analyze novel RNAseq, ATACseq, and Spatial Transcriptomics
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these methods to address challenges in scientific discovery and precision medicine. We seek highly motivated applicants with a background in one or more of the following areas: agentic AI, geometric deep learning
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, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models