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programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by prof. Patrizio Mariani, Dr. Jon Christian Svendsen and Dr. Fletcher Thompson We offer DTU
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PhD Studentship: Development of Next-Generation High-Performance Titanium Alloy for Aerospace Applications Funder: EPSRC and Rolls-Royce plc Duration: 3.5 years Supervisors: Professor Nick Jones and
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, their achievements and productivity to the success of the whole institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a full-time
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performance and future potential. The successful candidate will work under the main supervision of Prof. Holger Voos and will be required to perform the following tasks: Carry out the aforementioned research
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. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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carcinogenesis (InCuPanC)” funded by the German Research Foundation (DFG): Job-ID: V000013974 Field of application: Klinik für Gastroenterologie, Infektionen und Vergiftungen Location: Heidelberg Start date: as
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package within the core research program of CropXR. Our goal is to develop computational methods to translate integrated simulation models of plant responses to stress (drought, heat) from a model plant
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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wet-lab and computational scientists, good communicative skills in English are essential. German language skills are not required. We Offer: Excellent framework conditions: state-of-the-art equipment