81 parallel-and-distributed-computing-"UNIS" Postdoctoral positions at Stanford University in United States
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environment across multiple teams, with the ability to prioritize effectively. Being highly self-motivated to leverage the distributed supervision structure. Must be able to work well with academic and industry
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preparation and dissemination of findings at national and international conferences. Collaborate with investigators across rheumatology, pain medicine, biostatistics, informatics, and behavioral science
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Postdoctoral (E3) Fellowship Program trains the next generation of scholars to conduct research toward equitable, impactful, and sustainable early childhood care and education systems. Why the E3 fellowship
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engineering or the department of oceans and carry out laboratory and field measurements to better understand the distribution, persistence, and sources of pathogens in the environment. This could include, but
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Affairs. The FY25 minimum is $76,383. Our postdoctoral research fellowship program is dedicated to preparing scholars for an academic career in the domains of pediatric perioperative, pain, sleep, and/or
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, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research on human trafficking, including supply
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T32 Training Program in Pain and Substance Use Disorders is intended to develop postdoctoral trainees’ skills to become independent investigators in the fields of pain, substance abuse disorders, and
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surgical resident interested in medical education. The enrollment period for this program would be July 1, 2025 through June 30th, 2027. This is a two-year, funded position intended for a current surgical
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different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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computer science, operations research, applied math, statistics, or a related field Strong background in machine learning, optimization, and/or algorithm design Excellent written and verbal communication skills