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Field
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RAICAM aims to train a cohort of 10 PhD students to work on the next generation of mobile robots for inspection and maintenance of industrial facilities. RAICAM will develop a multi-domain, multi-agent
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support the development of a European energy system model by benchmarking future technologies and optimizing their representation within the FINE optimization modelling framework ( https://github.com/FZJ
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods
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the manufacturing and characterization of material samples. As such, the position offers the opportunity to be involved in fruitful national collaborations. In this exciting job you can expect: to develop automated
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“Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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the role of ADP-ribosylation signalling in the conflict between phages and the bacterial host with the aim to identify new antimicrobial drug targets and to develop biotechnological approaches including
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orientation and to provide opportunities for the development of professional skills. The Career Service offers workshops, seminars, and individual counselling. There are information pages on a wide range of
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Your Job: Maintain, and update quantitative methods for assessing economic impacts of the energy transition at the national and regional levels Develop dynamic and multisectoral economic models
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change on renewable energy production. This work will leverage and expand upon RESkit - an open-source renewable energy simulaton framework developed at our institute (available on Github: https
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professors, junior research group leaders Berufsausbildung an der Universität Tübingen International researchers Excellent research conditions Values Career development Benefits Family and career Tübingen and