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: Develop and validate physics-based, data-driven, or hybrid digital twins of Electrolysis systems, capturing their electrochemical, thermal, flow, and system-level behaviour for system monitoring, state
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industrial partners. In particular, you will: Develop and validate physics-based, data-driven, or hybrid digital twins of Electrolysis systems, capturing their electrochemical, thermal, flow, and system-level
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Neoplasms’ together with Professor George Vassiliou, Cambridge Stem Cell Institute, University of Cambridge, United Kingdom funded by a ‘Molecular Mechanisms Linking Obesity and Cancer (MMLOC)’ grant from
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antigens targeting conserved B-cell and T-cell epitopes of respiratory pathogens. • Development of de novo protein scaffolds, nanoparticles, and multivalent immunogens. • Application of generative protein
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with PCR-methods and other molecular methods. The candidate should have experience with development of protocols for molecular assays, and preferably also for working with growing virus in cell cultures