24 maynooth-university-programmable-city-project Postdoctoral positions at Chalmers University of Technology in Sweden
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decision-making in clinical settings. Project description In this project, we plan to combine AI-driven telemonitoring with specialized home care to improve management of heart failure patients. Using AI, we
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environment with strong links to both industry and European collaborative projects. Project description You will lead the development of a system-level noise model for ducted fans and propellers, with
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University of Technology and the Norwegian University of Science and Technology. Project overview The aim of the Postdoc project is to contribute to increased knowledge on the complex interaction between
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environment in the coastal city of Gothenburg . Read more about working at Chalmers and our benefits for employees. Chalmers aims to actively improve our gender balance. We work broadly with equality projects
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advancing optical tweezers techniques and developing novel nanoprobe-based sensing methods at the single-particle level. About us The project centers on the development of single-particle approaches
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the coastal city of Gothenburg . Read more about working at Chalmers and our benefits for employees. Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example
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the coastal city of Gothenburg . Read more about working at Chalmers and our benefits for employees. Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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of managing reverse logistics for returned products, and the potential disruptions to existing distribution networks. About us and the research project The division of Supply & Operations Management (SOM