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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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The group of Dr. Chong Sun in the Department of Chemistry and Chemical Biology is seeking a postdoctoral researcher to join interdisciplinary projects at the intersection of theoretical chemistry, machine
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contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific
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contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific
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is designated as a Carnegie R-1 “Very High Research Activity” institution and nationally recognized for its commitment to student success and service. It ranks No. 5 in Military Times’ “Best for Vets
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methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions) and collaborate within a project
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/aerodynamics for an overview of current activities and relevant scientific publications. It is the intention of the Aerodynamics group to further explore experimental techniques for aerodynamics, flight
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health care policy and aging research. Our faculty are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest
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Engineering » Electrical engineering Technology » Telecommunications technology Researcher Profile Recognised Researcher (R2) Application Deadline 31 Aug 2026 - 21:59 (UTC) Country Sweden Type of Contract
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to work on the design of novel nucleic acid delivery technologies for ex vivo/in vivo CAR-T cell engineering. The postdoc will assist in the development, optimization, characterization and (ex vivo/in vivo