164 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"Prof" PhD positions in United States
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September 2025. The Research Assistant Professor will be expected to conduct, and obtain full funding for a program of research focused on executive functioning and developmental neuroscience in clinical
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programming skills in Python and/or C++ Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments Hands-on experience applying deep learning
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settings, with 5+ years of experience building impactful deep learning systems A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR Strong programming skills in Python and/or C
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environment. Chicago Booth is proud to claim: -an unmatched faculty. -degree and open enrollment programs offered on three continents. -a global body of nearly 56,000 accomplished alumni. -strong and growing
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the use of leave protected by state or federal law in all programs, activities and employment practices as required by Title IX, other applicable laws, and policies. Retaliation is prohibited by UO policy
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The successful applicant will hold a Ph.D. in agricultural economics or related fields. The successful applicant should have experience using statistical programming languages, such as R, Python, SAS, etc
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will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs. Identify opportunities to apply AI to improve existing
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its internationally-recognized, roadside safety research program. During the last 23 years, MwRSF has developed significant expertise and garnered remarkable international recognition in the area of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion