104 parallel-computing-numerical-methods "Institute of Computer Science" Postdoctoral positions at Stanford University
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and experience in machine learning, computer vision, and deep learning methods Excellent English language communication skills, both oral and written Ability to work independently and as part of a
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the environment. The Boehm Lab , in the Department of Civil and Environmental Engineering and the Woods Institute for the Environment, invites applications for a Postdoctoral Scholar in Wastewater
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-performance computing, and Stanford's broader ecosystem of core facilities. Required Qualifications: Ph.D. in structural biology, proteomics, biochemistry, life sciences, or a related discipline
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or Departmental Website: https://med.stanford.edu/cmrgroup.html (link is external) How to Submit Application Materials: Please send your CV, names of references, plus PDFs of recent abstracts and
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, their interactions with bacterial cells, and their mechanisms of action; and Integration of NMR with complementary methods such as fluorescence and electron microscopy, mass spectrometry
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, remote sensing, geospatial analysis. We welcome applicants from ecology, environmental science, climatology, geography, geophysics, computer science, or related fields. Applicants should have a range of
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University. The Tawfik lab studies the use of electronic health record metadata in identifying structures and processes that promote high quality healthcare. Our projects apply advanced analytical methods to
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selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $80000-$85000 The
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Departments and Centers: Medicine, Primary Care and Population Health Epidemiology and Population Health Health Policy Med: PCOR Neuroscience Institute Medicine, Biomedical Informatics Research (BMIR
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. Candidates with training in sociology will have opportunities for co-mentorship with Stanford sociology faculty. The scholar will contribute across a portfolio of observational, mixed-methods, and