192 application-programming-android-"Prof" positions at Technical University of Denmark
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the IDUN section, led by Prof. Anja Boisen at DTU Department of Health Technology (DTU Health Tech). IDUN is a highly cross-disciplinary research section with over 50 members that focuses on the development
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systems. We develop design technologies and computing platforms for distributed and embedded systems, with applications in IoT, Edge AI, safety-critical systems, and quantum computing. We are seeking new
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more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained from Prof Xenofon Fafoutis and Prof
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. Neil Sinclair and Prof. Marko Lončar), where TFLN devices will be fabricated at DTU and TFLT at Harvard. Scientific Environment The project is funded by The Novo Nordisk Foundation and anchored at DTU
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Job Description DTU Management’s Transport Division and the Joint Research Centre (JRC of the EU Commission would like to invite applications for a 3-year PhD position starting no later than 1
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the performance and efficiency of PRO systems. Collaborate with interdisciplinary teams to integrate findings into practical applications. Mentor junior researchers and students and contribute to the academic
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Researcher Farzaneh
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airborne geophysical observations, and strong competences in Arctic fieldwork logistics. The gravity research group has carried out airborne gravimetry since the 1990s and has an annual work programme to
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offer computational efficiency and the ability to handle uncertainties. This project aims to identify promising RL-MPCs for application and upscaling in real-life building management settings. As PhD
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms