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the research area of adversarial robustness in LLMs as a Doctoral candidate / PhD Student (f/m/d) At the chair of Data Analytics and Machine Learning at the Technical University of Munich (TUM), a full position
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direction includes applying experimental, computational and theoretical approaches to study how cells and organisms interact with each other and respond to change at multiple levels (molecules, cells, tissues
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part of Helmholtz networks, e.g., HIRSE; https://www.helmholtz-hirse.de and internationally Your Profile: University degree (Master, Diploma) in natural sciences, computer science or engineering PhD in
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 2 months ago
) pursues a mission to advance biological discovery through innovative and cutting-edge mathematics, physics, and computation. Currently about 500 employees from over 50 countries work at the institute in a
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Description of the offer : Participation in the DFG-funded project “Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
by 31st July 2025, including a cover letter describing their interest in this position, a CV, PhD/diploma certificate, a list of publications, and a detailed list of IT and computing experience
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on the PhD program can be found here: https://www.wi.tum.de/programs/doctoral-program. Requirements • Master's degree in economics or related disciplines completed with very good results • Solid knowledge
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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), and computational modeling (deep neural networks). We apply multivariate analysis methods (machine learning, representational similarity analysis) and encoding models. Job description: This is an open
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across five departments—Physical Oceanography, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations—in an interdisciplinary framework as part of a joint research program