21 analog-and-integrated-circuits Postdoctoral positions at Chalmers University of Technology
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to pioneering research aimed at developing a comprehensive framework for the integrated and coordinated operation of conventional and converter-based energy resources across diverse grid scenarios. The ultimate
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(ACL) and other knee-related injuries. You will integrate and analyze large-scale clinical registry data in close collaboration with Sahlgrenska University Hospital, aiming to create predictive
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comprehensive design framework that integrates simulation, experimentation, and machine learning. Fall-related injuries are a leading cause of morbidity and mortality in aging populations, making this work a
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human health. The research is also related to global food security topics in an international context. About the research project As a Postdoc, you will be integrated into the EU-project SEAlgaePower, in
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storage solutions that support renewable energy integration in flexible charging systems. Energy storage is essential for the widespread use of renewable energy, given its intermittent and variable nature
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use digital twin environments and validation tests to ensure correctness and reproducibility of deployments Integrate research outcomes into proof-of-concept demonstrators and perform performance
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employees from over 30 countries. The department is a fully integrated department with Chalmers University of Technology and University of Gothenburg as principals. The position is placed in the Division
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. The position may also include a very small amount of informal supervision of bachelor or master students. It is expected that your research will be integrated within the currently established research
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expected that your research will be integrated within the currently established research collaborations and that you will take an active role within the collaborations as regards pushing new research ideas
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you will do Conduct independent research in collaboration with the research group Customize microfluidic platforms by integrating biological barriers and tissue-mimicking materials into chip designs