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for improved understanding of structural and kinetic processes in electrolytes; and machine learning concepts for improved analysis of experimental and simulated data. Material Synthesis Within this research
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computer skills. We also expect successful candidates to be active team players in the RTG. Experience with data collection in an international context will be a plus. Language requirements Excellent command
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, students gain profound knowledge in key areas of infection biology. At the same time, students learn to examine their research findings critically and to present them to an audience. In the last two half
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internships Not required by the IMPRS-ESM Teaching/work obligations or opportunities There is no obligation to teach. However, if desired, positions as teaching assistant can be searched for. Special promotion
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economically and socially. Education will be at the highest level (level eight) of the European Qualifications Framework (EQF) with the respective learning outcomes: knowledge at the most advanced frontier
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Nancy and the long-standing experience in sophisticated computer simulation studies from Leipzig, promising unique prospects in advanced education of PhD students via research into this important field
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profound knowledge in key areas of infection biology. At the same time, students learn to examine their research findings critically and to present them to an audience. In the last two half-year modules
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is beneficial We encourage you to apply even if you do not meet every requirement. We value diverse perspectives and are committed to finding the best candidate, recognizing that growth and learning
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=25939 PhD position (m/f/d) Cellular plasticity driven by innate immune activation in DDX41-mediated
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gravel pores and reducing oxygen supply to benthic habitats. These measurements explain the problem, but they cannot forecast future conditions or test management scenarios. Planners are therefore forced