84 parallel-computing-numerical-methods-"Simons-Foundation" research jobs at Stanford University
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-thinking individuals who embrace challenges and bring energy and vision to their work. Stanford University is seeking a GME Fellowship Program Manager to lead the management and administration of many
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. We’re looking for forward-thinking individuals who embrace challenges and bring energy and vision to their work. Stanford University is seeking a GME Fellowship Program Manager to lead the management and
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funded by the Simons Foundation that aims to uncover how opportunities for action ("affordances") shape neural representations, perception, and behavior. Why this position? You will sit at the center of a
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disease. Key responsibilities include: (1) Conduct computational methods development and analysis for systems-level understanding of host-immune responses to diseases. (2) Collaborate effectively with a
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analysis of multiple disease-specific datasets and contribute to the development of novel methodologies in this space. The ideal applicant will have a strong background in bioinformatics methods and a keen
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Abilities: Comprehensive understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Strong analytical skills and excellent judgment
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therapeutics. We are seeking a highly motivated, collaborative, and independent Postdoctoral Researcher to spearhead a research program within the general areas of protein biochemistry, engineering, and
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are seeking a highly motivated, collaborative, and independent Postdoctoral Researcher to spearhead a research program within the general areas of synthetic genomics and synthetic biology, as
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related field. Knowledge, Skills, and Abilities: Comprehensive understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Strong
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position to join NIH-funded projects in collaboration with the U.S. Census Bureau's Enhancing Health Data (EHealth) Program that develop new integrated data to improve our understanding of the socio-economic