174 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" PhD scholarships in Sweden
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research subjects within the postgraduate program: Physics, Theoretical Physics, Chemical Physics and Medical Radiation Physics. These subjects span over several research groups with different research
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the valorization of metallurgical slags as supplementary cementitious materials. The doctoral students will be admitted to the doctoral program in Process Metallurgy. In addition to the research group's own
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12 Dec 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Physics Technology Researcher
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University and Lund University within the ELLIIT programme (https://elliit.se/ ) and aims to develop the next generation of intelligent sensor systems capable of providing reliable situational awareness in
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18 Jan 2026 Job Information Organisation/Company Umeå universitet Department Umeå University, Faculty of Science and Technology Research Field Computer science Researcher Profile First Stage
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of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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educational programs in Computing Science, we are now seeking a PhD student with a focus on Computer Security. The Department of Computing Science has been growing rapidly in recent years, with a focus on
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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administrative and technical services—all within a setting that offers attractive employment conditions. To learn more about the department, please visit: https://www.umu.se/en/department-of-computing-science
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for hyperbolic conservation laws and other time-dependent partial differential equations relevant to computational fluid dynamics. These efforts might include Bayesian physics-informed neural networks and neural