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and application of high-performance hydrodynamic simulation methods, which this project aims to advance. In this project, you will work with an existing high-performance code to perform hydrodynamic
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motivation for scientific research and enthusiasm for interdisciplinary teamwork Interest in innate immunity, cardiovascular disease, and / or systems biology Critical thinking skills and the ability to work
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 3 months ago
networking at the highest level Access to international research networks Doctoral salary with the usual social benefits 30 days of vacation per year Flexible working hours Possibility of mobile work and part
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to pursue a doctorate Ability to work independently and contribute effectively to an interdisciplinary and international research team Excellent written and spoken English Tasks Research and development
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Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
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. The place of work will be in Ingolstadt. The salary is prescribed by the framework of the collective agreement (TV-L), Level 13 (75%). The research group Reliable Machine Learning (headed by Prof. Felix
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professionals in globalisation research. It qualifies them for employment, among others, in international organisations, in the field of conflict management, prevention and resolution and early warning (as
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will use polarized inelastic neutron scattering to explore a non-collinear antiferromagnet, aiming to provide definitive evidence of altermagnetism beyond the collinear limit. The work will uncover
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Degree Dr Course location Nürnberg In cooperation with Institute for Employment Research (IAB) Teaching language English Languages English Full-time / part-time full-time Programme duration 6
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You will work at the interface between electrochemistry, robotics and data-driven research. The aim is to utilise and further develop an automated laboratory environment for scientific purposes in