35 structural "https:" "https:" "SAARLAND UNIVERSITY" Postgraduate positions in Germany
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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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of Computer Science in the Faculty of Mathematics and Informatics at Saarland University runs the Graduate School in close cooperation with the internationally renowned research institutions: They are all located right
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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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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic
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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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(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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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