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standards. About the research project The postdoctoral project will focus on precision tests of low-energy strong interactions via the ab initio modeling of open-shell, nuclear many-body systems and Bayesian
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discovery of inhibitors of bacterial protein-tyrosine kinases, which will be tested for their capacity to hinder bacterial biofilm formation and virulence. The aim of the project is to generate knowledge
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kinases, which will be tested for their capacity to hinder bacterial biofilm formation and virulence. The aim of the project is to generate knowledge-based peptides with the use of generative AI, and test
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students, postdocs, and faculty on all levels, we are one of the largest academic software engineering research groups in the world. Our core expertise is in AI Engineering, software testing, requirements
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use digital twin environments and validation tests to ensure correctness and reproducibility of deployments Integrate research outcomes into proof-of-concept demonstrators and perform performance
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to the development of advanced methods for electrode fabrication, with a particular emphasis on electrophoretic deposition. You will also conduct electrochemical testing under applied magnetic fields to improve
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tested in high hydrogen pressure reactors and the gas will be analysed with GC. A central part of the work will be detailed catalyst characterization. A wide range of methods will be used, including XRD
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is carried out in close collaboration with industry and academic partners. Main responsibilities Develop a research plan and design test configurations in collaboration with senior researchers. Perform