72 postdoctoral-position-in-molecular-dynamic-simulation PhD positions at Technical University of Munich in Germany
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Immunology headed by Prof. Christina Zielinski. We offer a multifaceted scientific project with excellent technical facilities, a place in a dynamic, committed team, as well as strong local, national and
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(MCQST) is inviting applications for a Ph.D. or postdoctoral position. In recent years, spin defects in diamonds have been shown to act as atomic-sized sensors for nanoscale- microscopic magnetic field
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assays (e.g., high-throughput atomic force microscopy). This position offers the opportunity to work in a dynamic and multidisciplinary environment, contributing to a project with both fundamental
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immunology and eager to work on a dynamic project, we encourage you to apply. Contact: Prof. Dr. Marc Schmidt-Supprian marc.supprian@tum.de Tel.: 089-4140-4104 Klinikum rechts der Isar Technische Universität
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proteins from renewable feedstocks and waste streams. We aim to develop sustainable processes to convert these materials into high-performance fibers and functional materials. By manipulating molecular
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applied in Africa’s livestock sector. This work will involve modelling analyses using methodologies to be developed by the candidate in collaboration with their supervisors. This is one of two positions
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Henkel, is soliciting applications for Doctoral Researchers in Technology and Innovation Management (f/m/d)to join us by spring of 2024, or earlier/later by mutual agreement. The position is for two years
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408. The Technical University of Munich (TUM), as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUM has established the Collaborative Research
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PhD position | Sustainable Energy Materials | Electrochemistry 30.06.2023, Wissenschaftliches Personal We test novel catalysts for sustainable energy conversion processes such as polymer electrolyte
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positions will be part of a dynamic and collaborative team that conducts cutting-edge Data Science research and will provide opportunities to work with leading experts in the field of Responsible Data Science