34 parallel-computing-numerical-methods Postdoctoral research jobs at New England HERC
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, related conference travel, workshops, and computing resources will be available. Further information about the BHI may be found at http://www.bhi.fas.harvard.edu ; information about BHEX may be found at
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-validate the experimental and numerical platforms of the mechanics informatics framework. On the experimental side, this involves designing and fabricating heterogeneous specimens, conducting multiaxial
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Responsibilities of Computing ( SERC ) , will focus on generative AI and reasoning through the lens of social and ethical responsibilities of computing; provide supervision and guidance to students, and researchers
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Cambridge, Massachusetts, The MIT Sloan School of Management and Social and Ethical Responsibilities of Computing (SERC) in the Schwarzman School of Computing jointly seek to hire a Postdoctoral
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apply and develop computational methods to analyze datasets of varying modalities, such as RNA -seq, ATAC -seq, and spatial transcriptomics datasets, and of paired molecular and functional measurements
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-Smithsonian CfA). Successful candidates will have access to our computing facilities and will have the opportunity to interact and work with researchers above in multiple fields, including (but of
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applications (experience in R and/or Python, as well as cloud computing) A strong background in statistics and biology Experience managing and curating large datasets Excellent oral and written
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; demonstrated expertise in deep learning, preferably as applied to audio; and traditional signal processing. PREFERRED : Computational expertise: Experience with Pytorch, use of high-performance computing
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have experience in computational methods development, in human genetics or a different field. Possible areas of research include: 1. Developing methods to compare the genetic architecture of rare vs
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research, and Dr. Andrew C. Stokes, Associate Professor of Global Health with expertise in population health, epidemiologic methods, and causal inference. The R01 includes three complementary aims