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15.04.2024, Wissenschaftliches Personal The Chair of Integrated Systems at TU Munich is offering a PhD / PostDoc position on the topic of Intelligent Wrapper for Automotive based Main Memory
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. PIK’s Research Department III – Transformation pathways – is offering a Postdoc or PhD candidate position Transience (m/f/d) (Position number: 50-2023 Scientist Transience) in the field of Modelling
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We are seeking a motivated PhD student with a background in biochemistry, cell biology or molecular biology. The nuclear pore complex (NPC) is a large cylindrical structure with multiple copies
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, transforming the EU into a modern, resource-efficient, and competitive economy. Responsibilities and qualifications The focus of this PhD/Postdoc project is to develop a new Li-operated potentiometric
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addition to our trainings and events, we offer a variety of funding opportunities for our members. Our members – doctoral candidates and postdocs at Philipps-Universität Marburg – can apply for financial support
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 3 days ago
, Law and Social Sciences Faculty 6 Architecture, Civil Engineering and Urban Planning Financial support Yes Structured research and supervision Yes Research training / discussion Yes Support for
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06.09.2021, Wissenschaftliches Personal The Institute for Communications Engineering is currently offering seven positions for PhD or postdoctoral candidates for the project "6G-life" which is
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Degree PhD In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly founded by the Hasso
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Description/content The Cluster of Excellence 3D Matter Made to Order (3DMM2O) is a Research Cluster jointly run by Karlsruhe Institute of Technology (KIT) and Heidelberg University. The main task
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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation