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of understanding how to shape these fields are being investigated by measuring currents, voltages, and temperatures directly inside modules. In this PhD, you will design and develop high performance modules for WBG
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, the Geolab external link , and the Earth Simulation Laboratory external link . Moreover, the department has excellent High-Performance Computing facilities. The department is located at the Utrecht Science
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focus on how pump storage plants can be operated with high performance and efficiency, while also reducing environmental impacts. Hence, the candidate will work in cross disciplines with team members who
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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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the related biogeochemical controls. Position 2: Anaerobic methane removal. High-latitude coastal sediments are increasingly subject to an increased input of organic matter and metal oxides from land
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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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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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, 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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advertisement About the position A Doctoral Research Fellowship is available at the Faculty of Computer Science, Engineering and Economics at Østfold University College. This PhD candidate will play a central
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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