130 structures "https:" "https:" "https:" "https:" "Grenoble INP Institute of Engineering" positions at DAAD
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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gas/solid interfaces. The project is embedded into interdisciplinary and international cooperations involving partner groups from natural science and engineering ( https://www.sfb1452.research.fau.eu
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Paris Office Allemand d'Echanges Universitaires Maison de la Recherche – Université Paris-Sorbonne 28, rue Serpente 75006 Paris Tel.: (+33 1)/53 10 58 73 E-Mail: eudine@daad.de WWW: https://www.daad
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professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found
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arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a
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(KOSPIE) in cooperation with the Argentine Ministry of Education (ALEARG) Ministerio de Educación Presidencia de la Nación Buenos Aires / Argentina https://www.argentina.gob.ar/educacion
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using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, complex nano-structured materials and machine learning tools
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sustainability assessment be further developed to enable the analysis of the value-behavior gap and the behavior-impact gap to meet tailored boundary conditions for construction materials?” At the operational
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of a Class B driver’s license are also required. Please find more information about the position, the contact person and the link for applying here: https://jobs.rptu.de/jobposting
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, candidates are required to complete a scientific programming task in the subject area of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bayesian-inference-for-climate