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Field
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. Our research combines computational chemistry, cheminformatics, bioinformatic and AI to design new molecules and enzymes for unprecedented catalytic functions. In this project, you will: Develop
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, high-content imaging and high-throughput screening methods combined with drug design and development. Compounds will be tested in standard cell lines as well as patient-derived cells and three
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Skłodowska-Curie Doctoral Network (MSCA-DN). The project focuses on sustainable magnesium-based thermoelectric materials for next-generation solid-state cooling applications, combining materials science
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Beginning Winter semester Application deadline 28 February, every year Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes Joint degree / double degree programme No Description
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per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The International Helmholtz Research School for Nanoelectronic Networks
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 days ago
-Synuclein-lipid complexes by NMR spectroscopy in combination with photo-bleaching for the determination of the stoichiometry of the complexes and molecular dynamics. The protocols to prepare physiologically
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industrial engineering of similar Knowledge of thermal process engineering, reaction engineering, thermodynamics, process engineering, ideally in combination with plant modelling or control Experience with
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Combined Master's degree / PhD programme Yes Joint degree / double degree programme Yes Description/content The doctoral programme at Frankfurt School offers rigorous training in Accounting, Economics
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comprehensive understanding of the retention of the radionuclides 226Ra and 90Sr in carbonate-bearing claystones through a combination of experiments and simulations, and to elucidate the competition between
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reinforcement learning methods can be used to solve multiobjective discrete and combinatorial optimization problems. The goal is to develop new algorithmic approaches that combine ideas from machine learning