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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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the comprehensive training programme of the graduate school HDS-LEE https://www.hds-lee.de/ A structured doctoral degree programme via our doctoral researchers’ platform JuDocs https://www.fz-juelich.de/judocs
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development of your personal strengths, e.g. via a
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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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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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(including data science courses, soft skill courses and annual retreats): https://www.hds-lee.de/about/ A qualification that is highly valued in industry 30 days of annual leave and flexible working
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training program; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https
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retreats) https://www.hds-lee.de/about/ A qualification that is highly welcome in industry 30 days of annual leave and flexible working arrangements, including partial remote work Further development of your
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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