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of stereoselective catalysis. As a main training goal we want to educate researchers in comprehensive data-driven experimental approaches for realizing challenging asymmetric catalytic methods. This network brings
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. The starting date is in 2026 and is negotiable. We are looking for the researcher with experience in numerical lattice simulations in high energy physics and/or condensed matter physics. Experience in C++ is a
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resistance evolution. Project Description: The Doctoral Candidate will create high-throughput methods to test drug combinations and predict how bacterial cell variations influence resistance development. Using
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leading physicists. • Advanced Laboratories: Engage in research using state-of-the-art facilities. • Advanced High Performance Computing Cluster: Run advanced simulations and analyze them using numerical