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specifically for doctoral students (HITEC): https://www.hitec-graduate-school.de/home FAIR REMUNERATION: Remuneration is part of the EU funding program ‘Marie Sklodowska-Curie’ and depends on the personal
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quantification, and high-performance computing, with applications in the natural and engineering sciences. The position also includes teaching responsibilities equivalent to 4 contact hours per week, as
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. Who can apply? Advanced students of engineering sciences at Argentinean universities or researchers in publicly funded institutions with Argentinean nationality up to an age of usually 26 years. What
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characterisation Study of the degradation profile and publication of the results Your profile Completed university studies (Master, Diploma) in the field of Materials Science and Engineering, Electrical
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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. For TUD diversity is an essential
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of industrial processes. In a joint effort of both institutes, the Department AI4Quantum – Machine Learning for Quantum Simulation and Computing and Thermal Energy and Process Engineering are looking for a PhD
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(or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences, or another relevant natural science; Strong background in Structural Bioinformatics and
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changes), Computer Science and Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering
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nationality usually up to the age of 26 in the case of students of engineering 36 in all other cases What is supported? Advanced students of engineering who are in their last year of studies complete a study
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information about the degree program https://iee-unsjconicet.org/maestria_ingenieria_electrica/