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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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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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stiffness. The project will be computational in nature, involving monomer-resolved simulations of such macromolecules, calculating properties such as diffusivities and relaxation functions and performing
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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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, 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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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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-linked project, in collaboration with Rolls-Royce plc, will be based within the Structural Materials Group under the supervision of Prof. Nick Jones and Dr Nicole Church. Ti6Al-4V has been the aerospace
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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