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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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therefore teams up materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH ( AMO ) in Aachen, Forschungszentrum Jülich
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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, PMID30224749 and PMID32743075 . Requirements M.Sc. degree in molecular-, cell-, structural biology, computer science, digital image analysis or related fields that included minimum six months long
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Assistant (Doctoral Candidate) with specialising in hyperspectral imaging (salary scale 13 TV-L, 75 %) The fixed-term position is for a duration of 36 month in accordance with the project duration. Your role
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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of Technology. At each location we bring together more than 150 staff members. In ScaDS.AI, various research topics are being worked on within the framework of a graduate school on the fundamentals and
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of membrane electrode assembly for fuel cell Your profile Completed university studies (Master/Diploma) in the field of Mechanical Engineering, Process Engineering, Chemistry, Physics or related field Very good
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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the following fields: PhD in Atmospheric and Oceanic Science and Technology Female applicants and candidates from less privileged regions or groups are especially encouraged to participate in the programme