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available in the further tabs (e.g. “Application requirements”). Programme Description The PhD scholarships support highly qualified junior academics from the historical sciences with excellent academic
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for probing chemistry at surfaces and interfaces [1]. We want to strengthen this research direction by i) developing a second generation of NV-based NMR spectrometer and ii) applying it to material/energy
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beyond their actual research field. Our research fields are in the following areas Divisions and Departments - Fraunhofer ITWM Optimization Flow and material simulation Mathematics for vehicle development
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials
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well as eastern and south-eastern European (EU) countries. Eligibility criteria include an excellent academic record and voluntary social and political involvement. PhD students receive material and non-material
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contact with the liaison lecturer and actively participate in the scholarship’s non-material services, activities and organisations as well as – after the programme has ended – join and contribute
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full-time PhD candidate on the topic of “Automatic Recognition of building attributes” About us The TUM-Professorship for Data Science in Earth Observation develops innovative methods for information
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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well as to cooperate with an interdisciplinary team of researchers. Applicants should hold a Master degree in food technology, chemical engineering, material science or a related field. He/she should have a solid
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matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams