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Networks, and ICT Services & Applications. Your role Design intelligent agent architectures leveraging large language models (LLMs), planning algorithms, and secure transaction protocols tailored
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Robotisation (PROMAR) group, headed by Matthias Rupp. The group develops fundamental and technological expertise in machine learning for materials science, including data-driven accelerated simulations and
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of inflammation and cancer using shape- and size-tunable self assemblies (aza-BODIPYI) as contrast agents. This project is part of the Collaborative Research Centre 1450 “Insight – Multiscale imaging of organ
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develop targeted antiviral therapies against specific viruses; on the other, we work on broad-spectrum pan-virus family antiviral agents. These broadly active compounds are essential for a rapid and
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neurodegenerative diseases. The most promising candidates will be assessed using advanced docking and dynamics simulation techniques, providing insights into their potential interactions. To further substantiate
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of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be
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, particularly GBS, continuous-variable QC Experience with numerical simulation, statistical estimation, or probabilistic modeling. Programming proficiency (Python, Matlab or C++), especially for numerical
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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Granville (Victoria University of Wellington) ‘Magnetic Josephson junctions incorporating rare earth nitrides’ with Professor Ben Ruck (Victoria University of Wellington) ‘Quantum simulations
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-mature.org and send it together with a cover letter, a curriculum vitae, a copy of all university degrees and other certificates in a single pdf-file to gerd.bacher@uni-due.de . Please mention in your