74 postdoc-in-thermal-network-of-the-physical-building positions at Chalmers University of Technology
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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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the Wastewater Management and Environmental Biotechnology research group. You will be supervised by three senior researchers and work alongside other PhD students and postdocs in the group. Our interdisciplinary
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for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum
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Rosén and Andreas Lindhe (Department of Architecture and Civil Engineering ). We have a strong network with national and international organizations within academia, public authorities and industry. About
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enables cutting edge research, expertise, and competence building in the humanities and social sciences. The PhD student will join the WASP-HS graduate school which provides foundations, perspectives, and
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and numerical modelling of natural clays at both laboratory and field scale. We are active members of the ALERT Geomaterials network and other international committees. Our diverse and international
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Join us for an exciting and excellent PhD journey to create the future of maintenance! Explore the fascinating future of Net Zero industries where complex and highly automated equipment need
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our partners and host a unique network of companies, academia, research institutes, and public authorities. By fostering collaboration and progress, we aim to increase resource efficiency, promote a
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energy use and minimizing environmental impact. This collaborative effort brings together expertise in materials science, physics, polymer chemistry, and composite mechanics, with a particular emphasis on
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for advanced courses, international research visits, and networking across Sweden’s top universities. Information about the research group The Computer Vision Group at the division of Signal processing and