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scientific exchange at the national and international level Your Profile: You have successfully completed a master’s degree in natural or (industrial) engineering, computer science, or a related field You
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) engineering, computer science, or a related field You have very good knowledge of energy technology, energy economics, and energy policy You have already gained initial experience in energy system modeling You
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. You will work here The project is a part of Open Technology grant for our proposal COre-based PYrrolizydine alkaloid synthesis for Contaminant Annotation and Tracking ( COPY-CAT ). The research is
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contribute to food safety through innovation in analytical chemistry, within a multidisciplinary and collaborative research environment. You will work here The project is a part of Open Technology grant
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• Strong interest in interdisciplinary research Qualifications Research Assistant • Honours degree in (Biology, Neuroscience, Computer Science, Engineering, Mathematics, or related area) In addition
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Research Training Group
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and Advanced Computing Austria (ACA) — you will leverage state-of-the-art infrastructure, interdisciplinary know-how, and national networks. Your results will enhance the AI Factory’s Austria capability
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Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after
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The Intelli-Ingest Doctoral Network is an EU-funded Marie Skłodowska-Curie Action (MSCA) initiative is a network bringing together leading academic, clinical, and industrial partners to train a new
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benefit from world-leading infrastructure uniquely suited to support the programme, i.e. a fully operational network of Commercial-off-the-Shelf (COTS) primary air surveillance radars specially modified