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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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(including ultra-high-field and ultrafast MRI) Computational and network neuroscience Machine learning and biologically inspired AI Vision science and predictive coding Clinical neuroscience and
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the general study programme Wireless communication; as per May 1, 2026, or as soon as possible thereafter. The candidate will be based in Copenhagen at the CMI Section (Communication Media and Information
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to neuroimaging or biomedical data is a plus. Familiarity with high-performance computing clusters (e.g. using SLURM) is a plus. LanguagesENGLISHLevelExcellent Additional Information Benefits Salary: 24.468€ gross
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in relevant fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g
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fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab
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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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1. Project overview Electrochemical sensing plays a central role in next-generation health technologies, enabling real-time monitoring of physiological environments with high sensitivity and low
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or internal partners and editorial staff. report writing or the production of intermediate presentations). The project concerns more particularly the development of high performance and sustainable packaging
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state-of-the-art high performance computing facilities, mathematical training, and world-leading international collaborations. Application procedure All applications must be submitted via the Jobbnorge