21 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" PhD positions
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://causalab.sph.harvard.edu/ Basic Qualifications Education Requirements A doctoral degree in epidemiology, statistics, computer science, or a relative quantitative field Experience & Skills Requirements Export
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://causalab.sph.harvard.edu/ Basic Qualifications Education Requirements A doctoral degree in epidemiology, statistics, computer science, or a relative quantitative field Experience & Skills Requirements Export
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Organization U.S. Department of Energy (DOE) Reference Code 2027-DOE-IE-TALENT How to Apply Click on Apply below to start your application. Application Deadline 1/10/2027 11:59:00 PM Eastern Time
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. Demonstrated excellence in teaching and curriculum development in Robotics. Significant experience in bridging from the academic lab to serving society. A Ph.D. in robotics, computer science, or other
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Organization U.S. Department of Energy (DOE) Reference Code DOE-Scholars-2027-Gen How to Apply Click on Apply below to start your application. Application Deadline 2/15/2027 8:00:00 AM Eastern Time
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Organization U.S. Department of Energy (DOE) Reference Code DOE-Scholars-2027-Gen How to Apply Click on Apply below to start your application. Application Deadline 2/15/2027 8:00:00 AM Eastern Time
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Organization U.S. Department of Energy (DOE) Reference Code DOE-Scholars-2026-Gen2 How to Apply Click on Apply below to start your application. We encourage you to submit your application as early
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Organization U.S. Department of Energy (DOE) Reference Code DOE-Scholars-2026-Gen2 How to Apply Click on Apply below to start your application. We encourage you to submit your application as early
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[email protected] or visit our website at: https://orise.orau.gov/em-stars/ . Qualifications Applicants must meet the following requirements: Be a U.S. citizen at the time of application (proof
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 4 days ago
for use-case demonstrators
Requirements:
- university degree (Master’s or equivalent) in computer science, electrical engineering, machine learning or