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comprehensive further training program; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and
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/ Qualification that is highly welcome in industry Further development of your personal strengths, e.g. via a comprehensive further training program; a structured program of continuing education and networking
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Your Job: Chromatography modeling, while crucial for modern bipporcess development, still heavily relies on empirical determination of key model parameters. By combining protein structure
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No. 1 scholarship grant for scientific training activities at INFN Structure of Napoli for the following research topic: “Search for Dark Matter in association with top quarks with the Compact Muon
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to domain-specific knowledge and research. All three domains – life & medical sciences, earth sciences, and energy systems/materials – are characterized by the generation of huge heterogeneously structured
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No. 1 scholarship grant for scientific training activities at INFN Structure of Napoli for the following research topic: “Development of firmware for the first-level trigger for the muon spectrometer
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generation of AI leaders. Through industry exposure and structured cohort activities, you’ll gain the skills and networks needed to shape responsible, high-impact AI development across research, government
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website content (course outlines, catalogues, curriculum, programme structure) up to date. Drive course administration: support Masters and CET programmes each semester, including managing two e-learning
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Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | about 1 month ago
of Nottingham to commence in October 2026. Project overview This project investigates how housing inequalities spatially structure wellbeing in cities. It begins from the premise that where we live — and the
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange