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Field
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computational physics. Starting date of the position is March 1st 2027. The successful candidate will join the project "From turbulent flows to quantum fields and gravity: energy-momentum transport via symmetry
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or equivalent Skills/Qualifications Hold a BSc/MSc in Chemistry, Physics or Nanoscience and fulfil the requirements to be admitted into Química Teòrica i Modelització Computacional PhD program at the Universitat
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fully funded 3.5 PhD (GTA) starting in January 2027 for the following disciplines; Biochemistry, Cell Biology, Chemistry, Computational Biology, Genetics, and Sports, Exercise and Rehabilitation Sciences
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. The successful candidate will be expected to contribute to the mission of the Department of Radiology and to develop and maintain an independent funded research program. They will also be expected to form
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 19 hours ago
work (wet lab), and hold (or will hold by September 2027) a master’s degree in computer science, computational biology, bioengineering, engineering, physics, statistics, mathematics, medicine, biology
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships
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of Medicine Department:Pediatrics Salary Salary:Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: Research Program Our interdisciplinary and translational
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and alteration of minerals, which can clog up wells (e.g. through scale formation) and change the physical characteristics of reservoirs, affecting their performance. The aim of this project will be
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based university
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Electric motors and the systems they drive consume half of global electricity. These systems are typically very inefficient and contribute to a significant amount of energy wasted. By physically