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) Machine Learning and Combinatorial Optimization (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting at the earliest possible date. The positions are
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beamlines Method Development: develop and optimize methodologies to study nanoparticles encapsulated in protein cages implement improvements to existing protocols and instrumentation to enhance research
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, manufacturing and optimizing gene vectors Characterization of vector transduction in vitro and in vivo Radiolabeling of gene vectors for PET/CT imaging Animal studies in collaboration with other researchers and
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in energy system optimization models including, e.g., reservoir productivity predictions, novel surface processes for CRM extraction, CO₂ reinjection, and reconversion of decommissioned oil wells
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changes), Computer Science and Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering
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beamlines Method Development: develop and optimize methodologies to study nanoparticles encapsulated in protein cages implement improvements to existing protocols and instrumentation to enhance research