249 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" research jobs at Princeton University in United States
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cutting-edge technologies. The Pritykin lab (http://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a
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strong commitment to excellence in education are encouraged to apply. PhD in computer science, cognitive science, or a related field is required. Applicants must apply online at https://www.princeton.edu
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, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300 H100s). Ideal candidates will have a strong interest and proven
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with evidence of experience in scholarly research and a strong commitment to excellence in education are encouraged to apply. PhD is required. Applicants must apply online at https://www.princeton.edu
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-person on campus at Princeton University. To apply online, please visit https://www.princeton.edu/acad-positions/position/37121 and submit a cover letter, CV, Research Statement, Publication list and
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. Some experience with first-principle methods (FP/DFT) and/or other forms of electronic and magnetic structure theory and calculations is also expected. The successful candidate will have a strong
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senior ranks may have multi-year appointments. A PhD is required, with appropriate research experience in quantitative biology, (bio)physics, (bio)engineering or related Engineering and Physical sciences
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will have the opportunity to work closely with our engineers and other research staff. Projects may include software package creation and maintenance, data engineering, development and/or implementation
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: 280363223 Position: Postdoctoral Research Associate Description: The Department of Electrical and Computer Engineering invites applications for postdoctoral, or more senior, research positions. The term
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300