99 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"UCL"-"Prof" "https:" PhD positions in United States
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of particle acceleration and the Sun's interaction with the local interstellar medium. See https://spacephysics.princeton.edu/ for more information about the Space Physics Group at Princeton University
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after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources
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National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more
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university medical center for Northeast Texas and beyond. For more information, please visit https://www.uttyler.edu/about . Additional Information The retirement plan for this position is Teacher Retirement
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leading activities at the LPC. For a full range of LPC activities please refer to: https://lpc.fnal.gov . Applications consist of a CV, a cover letter, a research proposal, and a plan for residency at
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activities of the newly created VSWT Service Center. The Center aims to take the University of Utah’s VSWT program and its technologies nationwide. The director will carry out the mission and vision
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the U.S Experience working with spatial data and machine learning models. Strong knowledge of programming languages, such as Python, R . Demonstrated skills in scientific writing, publications, and
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overview Position title: Associate Researcher/Full Researcher Salary range: See Table 13-B (https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t13-b.pdf
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, Radiology, and Anesthesia Interested applicants should apply here: https://utah.peopleadmin.com/postings/190128 For more information, please contact Jeremy Egusquiza, Associate Director, at jeremy.egusquiza
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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