149 web-programmer-developer-"https:" "Japan Agency for Marine Earth Science and Technology" PhD positions at DAAD
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-muenchen.de Web: https://www.cens.de Legal notice: The information on this website is provided to the DAAD by third parties. Despite careful checking, the DAAD cannot guarantee the accuracy and completeness.
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-muenchen.de Web: https://www.cens.de Legal notice: The information on this website is provided to the DAAD by third parties. Despite careful checking, the DAAD cannot guarantee the accuracy and completeness.
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. Successful and rapid development and deployment of the technology will ensure EU's leadership in the exploration and exploitation of deep space, the next commercial space frontier. The program is designed
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development and deployment of the technology will ensure EU's leadership in the exploration and exploitation of deep space, the next commercial space frontier. The program is designed to achieve the following
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Beijing DRC Building D1, 1102A 19 Dongfang Donglu, Chaoyang District 100600 Beijing, VR China Tel.: +86 010/6590 6656 Fax.: +86 (10)/6590-6393 E-Mail: postmaster@daad.org.cn WWW: https://www.daad.org.cn/zh
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are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_language=en
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to contribute to sustainable development. To this end, scholarships are granted for development-related PhD studies for individuals who plan to pursue a career in teaching and / or research at a higher education
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to 5 potential projects from either program. Contact For further information about the program please visit: imprs-gs.uni-goettingen.de or https://www.uni-goettingen.de/de/621713.html The Max Planck
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-juelich.de/de/karriere/stellenangebote/2025D-120 https://www.fz-juelich.de/en# Contact Forschungszentrum Jülich GmbH The development of complex materials with tailored properties Address StreetWilhelm-Johnen
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using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering