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Responsibilities Conduct foundational research in adversarial machine learning, exploring novel attack vectors and defense mechanisms for AI agents and large language models. Develop formal verification methods and
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bipolar plates (BPPs) in PEM stacks. Using advanced, scalable manufacturing methods, you will tailor the internal microstructure to improve mass transport, mechanical robustness, and interfacial behaviour
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Candidates must hold a PhD in Mathematical Engineering or Applied Mathematics (or equivalent) Candidates should have a solid background in numerical methods for differential equations, simulation of stochastic
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the project “Modeling of optically excited states in periodic and molecular systems with the self-consistent Green's function methods” financed by the NAWA Returns grant awarded by Polish National Agency
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The Centre for Formal Methods and Future Computing (FORM) at the Department of Mathematics and Computer Science, University of Southern Denmark (SDU, Campus Odense or Vejle) invites applications
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benefits are in accordance with the German public sector scale, TV-L E13. Your Qualification: Strong mathematical background (e.g., linear algebra, optimization, formal methods, convex geometry). Master's
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scattering and by pump-and-probe methods of standard and topological phonons in silicon and 2D materials; Advance experimental methods to study topological phonon waveguides and their coupling to phonon
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Coteaching Bachelors courses in teacher education For further details about the role, please contact Christina Siry: Your profile PhD in education or a related field Strong knowledge of qualitative research
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, PyMOL, Chimera, etc. Interest in advanced computational methods to improve and understand protein function Interest in entrepreneurship to make a positive impact on planetary and human health As a formal
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 13 days ago
institute of the Max Planck Society and is dedicated to the study of human cognitive abilities and brain processes as well as the development of neuroimaging methods. The Brain Networks Group, led by