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- NTNU - Norwegian University of Science and Technology
- Aarhus University
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, analyses, and presentations. The research area is multidisciplinary and of both scientific and applied nature. Scientific work is presented in English in articles in scientific journals and at international
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11th October 2026 Languages English English English We are looking for a PhD student in Computational Neuroscience at the Kavli Institute for Systems Neuroscience PhD in Computational Neuroscience
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day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Long term management of large scale computing infrastructures requires
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, medicine, physics, engineering, or related fields, apply to be part of our international, interdisciplinary research community. How to Apply We recruit twice a year in a highly competitive process
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. The postdoctoral fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus
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international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality. via Unsplash NTNU - knowledge for a better world NTNU - knowledge for a better
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communication skills, fluent in spoken and written English. Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international
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) that drives innovation for the economy and society in Luxembourg and beyond. With cutting-edge expertise in Natural, Built, Industrial environments, Space, AI, Security and defence technologies. LIST bridges
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research excellence and the ability to pursue a doctoral degree at TUM Documented experience in machine learning and/or natural language processing with deep knowledge of LLMs, RAG and agent-based AI systems