473 computer-science-programming-languages-"St"-"ST"-"St"-"FEMTO-ST" positions at Carnegie Mellon University
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, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off
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benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with
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: 2023798 SEI advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and
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, background in imaging, computational modeling, and molecular biology. Applications, including a cover letter and a curriculum vitae indicating your interest and relevant training should be submitted
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experience and a strong portfolio before applying for Ph.D. positions. Fellows in previous years have gone on to great things and a variety of Ph.D. careers ranging from cognitive science, computer science
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SEI advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and
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problems Ability to work with statistics software, such as Stata Familiarity with programming languages, such as Python Qualifications: Bachelor’s degree in finance, economics, statistics, computer science
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independently under the mentorship of the project director, Prof. Simon DeDeo, and a board of advisors in mathematics (Akshay Venkatesh, Michael Harris, Simon Rubinstein-Salzedo), computer science (Dana Randall
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information science, AI, healthcare analytics, policy analysis, and management science. Carnegie Mellon University’s Heinz College is searching for a part-time Research Assistant to join their team. This is an
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, electrical and/or computer engineering with a focus on computer vision/machine learning. Strong programming skills, Python, Pytorch, Large Vision Models, Multimodal Foundation Models, Transfer Learning. Three