234 computer-science-programming-languages-"St"-"FEMTO-ST-institute" PhD positions in United States
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Research Assistant Professor (Non-tenure Track)- Biology Department - (25001172) Description The Cordes Lab in the Department of Biology at Temple University is seeking a Research Assistant
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candidate will have an opportunity to work closely with an interdisciplinary team of researchers from various disciplines, such as agricultural engineering, mechanical engineering, agronomy, computer science
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
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would be in addition to the normal employment and academic requirements of the student’s graduate program. Employment in this position would not reduce the work required as part of the graduate program
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Neuroscience. This job would be in addition to the normal employment and academic requirements of the student’s graduate program. Employment in this position would not reduce the work required as part of
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Visiting Research Assistant Professor Bioengineering - Pennsylvania-Pittsburgh - (25005391) The 7 Tesla Bioengineering Research Program (7TBRP) in the Department of Bioengineering at the University
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams and
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complete) an M.Sc. (or equivalent) in Computer Science or a related discipline ML expertise: You have strong programming and deep learning experience (e.g., PyTorch, TensorFlow), backed by a substantial
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research program focused on spatial immuno-oncology, utilizing cutting-edge technologies (e.g., spatial transcriptomics, spatial proteomics, imaging mass cytometry) to study the tumor microenvironment