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(varying grinding and flotation conditions); collect and curate high‑frequency time‑series data Train particle‑based separation models (PSMs), linking micro‑structural descriptors to flotation performance
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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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conventional agriculture-based alternatives. This project will pioneer the development of a high-resolution waste-derived novel biotechnology feedstock-host background data generation to enable sustainability
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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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collaboration are particularly encouraged to apply. The PhD specialisation in economics aims to give dedicated graduates a solid training in performing high quality scientific research in economics, making use
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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
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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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processing (reactive ion etching, optical/electron beam lithography, scanning electron microscopy, atomic force microscopy, metal evaporation, wire bonding), performing computer-based simulations and modelling
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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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ranked as world leading or internationally excellent, and benefit from state-of-the-art high performance computing facilities, mathematical training, and world-leading international collaborations