2,506 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" Fellowship positions
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(UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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period at the University of Oslo. Job description GENESIS is a newly established Life Science Convergence Environment that brings together active matter physics, cell biology, and computational biology to
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researcher to be part of this exciting research program and design novel membranes for sustainable bioprocessing, with interdisciplinary experiences in (bio)chemistry, biopharmaceutical and membrane technology
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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demonstrate solid knowledge of relevant social science theories and methods necessary to carry out the proposed PhD project. Admission to the faculty’s PhD programme is a prerequisite. See admission
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 06-Mar-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Engineering Internal Number: 15951 School
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on LERO case studies and Delphi study to prioritise outcome measures). https://www.fundingawards.nihr.ac.uk/award/NIHR174454 The posts will be based at the Department of Applied Health Sciences
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: The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Degree in Biomedical Sciences or related subject. Normally have or be about to
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
the upper segment of their class with respect to academic credentials. Required qualifications: Master’s degree or equivalent in physics, applied mathematics, computational science, or a closely related field
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or interest in the use of artificial intelligence, machine learning, or computational tools in behavioral and experimental economics is appreciated. Strong emphasis will be placed on demonstrated research