117 parallel-and-distributed-computing-phd-"Multiple" Postdoctoral positions at Stanford University
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Posted on Mon, 08/04/2025 - 11:14 Important Info Deprecated / Faculty Sponsor (Last, First Name): Wolak, Frank Stanford Departments and Centers: FSI Program on Energy and Sustainable Development
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presentations). Evidence of their contributions to their current research communities. Track record of mentoring more junior scholars. Required Qualifications: PhD in computer science, electrical engineering
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Affairs. The FY25 minimum is $73,800. A fully funded postdoctoral fellowship is available in the Ophthalmic Microsystems Laboratory at Stanford, which is led by Charles DeBoer, MD, PhD in the Department
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research findings into impactful software tools that improve on the robustness and security of AI and critical software systems. Ability to lead complex research and development projects with multiple
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. She is also a faculty member in the Biophysics Program and a Faculty Fellow of the Sarafan ChEM-H (Chemistry, Engineering and Medicine for Human Health) Institute. Cegelski’s PhD in Chemistry and
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protein engineering techniques. In parallel, we are also looking for postdocs interested in developing high-throughput screens for single-domain antibodies, called nanobodies, that perturb intracellular
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based on Stanford University guidelines , and full benefits. Required Qualifications: Recently completed PhD, DrPH, MD, or other doctoral degree in a discipline related to nutrition, food systems
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stem cell neuroscience Dr. Ryann Fame’s lab (famelab.stanford.edu) in the Department of Neurosurgery is recruiting a full-time postdoctoral fellow to an NIH-funded project. Dr. Fame’s research program
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multiple human MRI research scanners operating at 1.5, 3, and 7T field strengths, as well as small-bore systems for specimen and animal studies at 7T and 11.7T. The appointment will be for a 1- or 2-year
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. Required Qualifications: PhD in statistics, economics, computer science, operations research, or related data science fields Strong data science skills, including experience working with large, complex data