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impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective is to investigate the optimal
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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of mixed fixed-flexible transport networks? Job description The increase of public transport usage has clear potential in transforming our environment to be more liveable, sustainable and convenient. However
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Mission-Inspired priorities of Engineering Net Zero and Artificial Intelligence. This vision also reflects RCA’s institutional research priorities: Climate Crisis and the Circular Economy, and Design & AI
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, workshops, and conferences to present research findings and expand professional networks. Project Management: Contribute to the planning, budgeting, and execution of research projects, ensuring milestones and
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the material consumption and environmental impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective
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This project is part of the EU-funded Print4Life , a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader of BioMaterial Systems (BmS). This network has eight doctoral candidate host
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This project is part of the EU-funded Print4Life , a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader of BioMaterial Systems (BmS). This network has eight doctoral candidate host
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of the Faculty of Law at Ludwig Maximilian University Munich. Full proficiency in English is expected and additional language skills are welcomed. What we offer Doctoral candidates receive doctoral funding
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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role This Ph.D. position offers a chance to join a dynamic, interdisciplinary research group