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effort supported by the Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg AI, Autonomous Systems and Software Program (WASP), a WASP-WISE NEST. This interdisciplinary setting
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noble-metal tellurides. The researcher will work together with PhD students, postdocs, and a research engineer, to perform the experiments. Description of the work duties: to perform synthesis
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in real machines used in mining, forestry, construction, or the space industry. The doctoral candidate position is fully funded by the Marie Skłodowska-Curie Doctoral Network ENGAGE, which stands
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in real machines used in mining, forestry, construction, or the space industry. The doctoral candidate position is fully funded by the Marie Skłodowska-Curie Doctoral Network ENGAGE, which stands
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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
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. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material
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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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:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Our societies rely on computer systems and on software stacks. Unfortunately, software
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reinforcement learning, robotics, and the development of reactive software systems. It enables the creation of robust, reliable programs by specifying what a system should do, while automatically deriving how it