53 coding-"Prof"-"Prof.-Dr"-"Embry-Riddle-Aeronautical-University" positions in Germany
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. Complete two 6-month internships at TU Delft (Prof. Charlotte Frenkel) and at Mercedes-Benz, Böblingen. Participate in yearly retreats organized by the doctoral network participants Support the dissemination
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German Universities of Excellence and provides outstanding working, research, and networking possibilities. The position will be in the group of Prof. Thomas Heine at the Chair of Theoretical Chemistry
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on the Internet at www.igzev.de. For questions, please contact the scientific director: Prof. Nicole van Dam (vandam@igzev.de ; phone: +49-33701 - 78 105). We encourage a healthy work-life balance. The IGZ
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patterns and workflows that make human-AI collaboration seamless, trustworthy, and effective. This includes exploring emerging paradigms like "vibe coding", where the developer's role shifts to specifying
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, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit your detailed application (including CV, motivation
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 3 months ago
site, theoretical work is led by Prof. Angel Rubio at MPSD. We are currently inviting applications from enthusiastic and talented researchers to join the teams of: Dr. Michael Ruggenthaler – Mathematical
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Computational Molecular Medicine, led by Prof Julien Gagneur, develops computational approaches to study the genetic basis of gene regulation and its implication in diseases. Applications of our work range from
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in quantum information and communication theory, as well as in quantum coding theory • Interest in theoretical work with high practical relevance • Motivation to demonstrate research results on a
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++ coding skills • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) • Enthusiasm and self-drive towards driving research forward :) How to Apply: • Required Documents: CV, research