44 postdoc-distributed-algorithms positions at Chalmers University of Technology in Sweden
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the impact of protein aggregation About the division The Division of Chemistry and Biochemistry consists of approximately 100 researchers, including PhD students and postdocs. Research at the division
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Engineering You will be part of the Division of Electric Power Engineering (EPE), which includes a broad team of PhD students, postdocs, and senior researchers. The group specializing in power electronics in
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engineering challenges. Currently, three postdocs and about 15 PhD students are working within our main research areas: Lightweight materials and structures, multi-phase and metallic materials, Process modeling
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aimed at building a high-performance quantum computer based on superconducting circuits. Our team includes a dynamic mix of PhD students, postdocs, and senior researchers working collaboratively
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postdocs at Chalmers, and collaborate with academic and industrial partners in Sweden and internationally. The role also offers opportunities for travel and engagement with external collaborators. Research
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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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to retrieve geophysical information from satellite data. Our research drives innovation in instrumentation and retrieval algorithms, and tackle climate change, air pollution, natural hazards, and land/ocean
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characteristics, reuse, recycling, and overall sustainability across various materials and applications. Our AM group is one of the largest in Europe, bringing together dedicated researchers, postdocs, and PhD
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theoretical research, algorithm design, and the development of software tools that demonstrate the applicability of the new methods. Research environment The positions are hosted by the Department
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modular, scalable, and transparent control algorithms suitable for real-time implementation across different vehicle platforms. - Contribute to theoretical developments in stochastic model predictive