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such as green hydrogen and CO/ethylene from CO₂ reduction, but optimisation is complex, involving interdependent variables across catalysts, supports, ionomers and operating conditions. Working as part of
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• Independently design, execute, troubleshoot, and interpret experiments in structural biology, biochemistry, and cell biology • Perform protein complex expression/purification (mammalian and insect systems), cryo
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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job One Postdoctoral Research Associate position is available in the Department of Aerospace Engineering and Mechanics (AEM
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to join our research program focused on Epstein-Barr virus (EBV) oncology. The ideal candidate will investigate the complex landscape of virus-host interactions, specifically utilizing mass spectrometry
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities and is among is the top ten
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for this position will be included in a Job Pool that may be considered for future project requirements Eligibility criteria Training and experience in physical-mathematical modelling of complex biological systems
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About The Role Postdoctoral Research Associate This Wellcome Trust funded full-time post is available from August 2026 on a fixed term basis to cover a maternity leave until October 2027
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systems: Protein complexes involved in DNA repair and recombination, including mediators of homologous recombination and replication-associated DNA processing (NIH-funded). Nitrogenase and nitrogenase‑like
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 19 days ago
the interpretability, generalization, and physical consistency of machine learning models for PDEs. Exploring how data-driven methods can accelerate simulations and improve prediction in complex turbulent systems. Your