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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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Rauers (FSU Jena). Obtaining a PhD in Psychology with a topic within the scope of the research project Preparation, implementation and analysis of an empirical data collection (e.g., development
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with a topic within the scope of the research project Preparation, implementation and analysis of an empirical data collection (e.g., development of behavioral paradigms for assessing social learning
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commercial simulation tools such as Abaqus and Comsol Multiphysics. o Familiarity with multi-scale or coupled field analysis (e.g., structural-electromagnetic, fluid-structure). o Understanding of drone
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to optimization problems with possible topics covering: Variational quantum algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical
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instruments (e.g. Thermo Orbitrap technology). Experience in using (AP-)MALDI technique for analysis and imaging. Experience in LC/MS for targeted or untargeted studies is an asset Ability to execute research
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datasets such as the Luxembourg Parkinson’s Study and different prodromal cohorts for neurodegenerative diseases are ready for analysis. The doctoral researcher will: Conduct research that will compose a PhD
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into cross-seeding between microbiome-borne amyloidogenic proteins and human proteins implicated in neurodegenerative disea Your responsibilities: The doctoral candidate will perform computational analysis
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events (e.g. in the context of ALICES) Participate in the wider academic community through conference and workshop participation Teach and assist in undergraduate and graduate courses Publish research