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- 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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Are you interested in challenging deep learning at its core? And specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision
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‘foundations’ that develop in response to the loads applied to the tree. For example, trees subjected to high winds (inducing large moments) develop roots that prioritise lateral spread rather than depth
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our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time management
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PhD1: A MSc degree in Artificial Intelligence, Data Science or Computer Science; good engineering skills; affinity with AI. Experience in NLP/IR is a plus. Experience in conducting research is also a
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at the intersection of control engineering, power systems, and renewable energy integration. The PhD project supports the development of independent, high-quality research and provides a strong foundation for both
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Application Deadline 15 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Degree PhD; Dr rer nat; Dr rer biol hum; Dr med Course location München In cooperation with Stiftung Patient & Klinische Pharmazie Teaching language German English Languages The programme is mainly
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facilities and high-performance computing resources participation in international conferences, research stays, and collaborative networks collaboration with leading experts in imaging, modeling, and materials
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and circular bioeconomy goals. Research Objectives The project aims to identify high-performing microbial species capable of efficiently converting mixed C5/C6 sugars into higher alcohols with excellent