57 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Chalmers University of Technology in Sweden
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Application Deadline 28 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 304--1
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and collaborative. About the research project Autonomous vehicles must plan safe trajectories in interactive traffic, where many possible futures must be considered. Current methods struggle with
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, regardless of gender, age, disability, religion, national origin, or ethnicity. WASP and the graduate school These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP As
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groups working towards a common goal. For this postdoc project, we seek a dynamic and motivated candidate with an interest in computational electromagnetism, inverse design, and/or machine learning in
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are long vector/matrix multicore architectures. The goal of our team is to develop effective runtime and compiler support to program these architectures using the SYCL, OpenMP and OneDNN programming models
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The PhD student will join a world-leading research environment at the Chalmers Security and Privacy Lab . Software is often the root cause of vulnerabilities in modern computing systems. We develop
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questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations
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varied, ranging from theory and computer simulations to experimental investigations. The theoretical subatomic physics group performs research on nuclear, elementary particle, and astroparticle physics by
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the application of machine learning to optics, touching upon aspects of computational electromagnetism and inverse design. Information about the project and division Structured optical materials, such as
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for personalized medicine. The SYSBIO division provides an international and collaborative environment, combining computational, biological, and medical expertise to address complex health challenges. Who we