101 computer-programmer-"Multiple"-"O.P"-"U" "NTNU Norwegian University of Science and Technology" PhD scholarships in Sweden
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research in system and circuit design for next generation wideband radio frontends. The position allows access to fabrication in multiple semiconductor technologies provided by international partners inside
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. The research program “Save the Ash”, managed by Skogforsk and SLU, aims to develop a more resistant population of European ash for the future. The PhD project will investigate the recent rapid decline in
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interaction with researchers from different research fields and access to various scientific and technical expertise. All PhD students at the Faculty of Medicine attend the doctoral education program. More
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format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable
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with researchers from different research fields and access to various scientific and technical expertise. All PhD students at the Faculty of Medicine attend the doctoral education program. More
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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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and responsible development of the maritime industry. We address the multiple pressures that ships pose on the ocean and try to bridge the gap towards environmental management and marine spatial
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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center located in Norrköping, Sweden, with a PhD program in Analytical Sociology and an international Masters’ program in Computational Social Science. The research strengths of the IAS include the study