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12 Dec 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Electrical Engineering Research Field Chemistry Computer science Engineering
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share a common interest in utilizing the combination of electronic and ionic charge for use in healthcare and biology applications, energy, and the internet-of-things. Our research topics include
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-Bobadilla et al. Nature Biotech 2023) and programmable cell state targeting using stimulus-responsive enhancers (Zamboni et al. Nature Neurosci 2025). The current projects aim at using computational modelling
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group, Division of Communication Systems, Antennas and Optical Networks, Departmet of Electrical Engineering. We pride ourselves on fostering scientific excellence, innovation, and collaboration with
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these technologies we consider thermal energy storage (TES), heat pumps, electric heaters, and solar thermal collectors. The postdoc will lead activities within the scope of TES technology development (e.g. via
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and expertise in brain imaging (MRI), image processing and machine learning. Coordinating projects within the research group, supervising students and writing applications are also included in the role
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machine learning models in simple, standalone devices that are capable of advanced processing. Building on our work on solution-based neuromorphic classifiers (https://doi.org/10.1002/advs.202207023
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with machine learning for batteries, with
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, regression models or machine learning. Applicants from clinical hepatology with experience in the above fields can also be interesting. You will work in an interdisciplinary and international research
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and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project The postdoc will work at Chalmers University of Technology in a