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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 4 hours ago
biology? The International Max Planck Research School for Living Matter: from molecules to dynamics (IMPRS-LM) is a joint PhD program between the Max Planck Institute of Molecular Physiology ,the TU
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modelling. The PhD programme is thus an excellent starting platform for a successful career in a field related to global biogeochemical cycles and Earth System Science. To answer questions relating to global
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friendly, international, and highly collaborative team working on projects that combine fundamental science with real-world impact. We offer three PhD positions (TV-L E13, 65%) for three years, including
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of international scientists will guide and support PhD candidates throughout their projects. Structured mentoring and training including summer schools, industry internships, hard and soft skill workshops and
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Degree PhD/Dr rer nat/Dr rer medic/Dr-Ing Course location Dresden In cooperation with International Max Planck Research School for Cell, Developmental and Systems Biology (IMPRS-CellDevoSys) under
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2022, bringing together a diverse consortium of more than a dozen world-leading scientists in RNA modification and delivery, CRISPR-Cas systems, microRNAs, non-coding RNA, RNA biology of infections, and
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condensed matter physics. We are looking for highly talented and motivated students from all around the world to join our affiliated research groups. Multiple PhD positions will be awarded on a competitive
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the candidate's research progress. PhD researchers working with data science methods have the opportunity to develop their methodological skills throughout the doctoral journey with a dedicated PhD workshop on data
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per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content In autumn 2003, the Center for Infection Biology (ZIB) launched
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision