57 machine-learning-and-image-processing positions at Chalmers University of Technology in Sweden
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research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division
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fluids, flow-induced pattern formation in both simple and complex flows (e.g. flow instabilities, product defects), multiscale analysis, and the application of machine learning techniques. About the
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to investigate flow-induced forces in hydraulic turbines under varying operational conditions and how these forces affect the degradation and lifetime of the machines. About the position The position is based
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leave, sick leave, or military service. Contract terms The position is a temporary full-time employment for two years with the possibility of a one-year extension. The position requires physical presence
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the Division for Computer network and systems and the employment is placed with Chalmers University of Technology. Our research spans from theoretical computer science to applied systems development. We provide
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. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems
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pioneering research on rethinking space and municipal planning processes conducted in co-creation and a transdisciplinary setting spanning architecture, urban development, human geography, ecology, and economy
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commitment to lifelong learning. The department emphasizes strong collaboration between academia, industry, and society, with a clear focus on utilisation. M2 is characterised by an international environment
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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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about working at Chalmers and our benefits for employees. The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years. Doctoral studies