284 web-programmer-developer-"https:"-"UCL"-"U"-"The-Open-University" "https:" "https:" "https:" positions at DAAD
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committed to the compatibility of family and career → further information at https://www.uni-regensburg.de/universitaet/jobs-und-karriere/familien-service In the case of essentially equal qualifications
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Regional Development (IOER) is a non-university research institute in the field of the spatial sciences and a member of the Leibniz-Association, focusing on the sustainable development and transformation
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available in the further tabs (e.g. “Application requirements”). Programme Description The Leibniz Institute of European History (IEG) in Mainz awards fellowships for doctoral students in European history
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Regional Development (IOER) is a non-university research institute in the field of the spatial sciences and a member of the Leibniz-Association, focusing on the sustainable development and transformation
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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institutions from academia and industry: https://euraxess.ec.europa.eu/jobs/401249 . Your mission The aim of the project is the development of a physical model of the initial solidification of steel during
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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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), the sorption of PFAS and heavy metals onto natural nanoparticles will be investigated in situ using a dedicated field exposure method developed by our team, complemented by laboratory experiments and machine
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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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applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to mlcv at tu-dresden.de or to: TU Dresden, Chair of Machine Learning