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Field
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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one
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electrophysiology to translational models, including animal studies and analyses of human tissue samples. This full-stack methodology enables us to directly link molecular channel function with disease phenotypes
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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process
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Reference: SATM591 Eligibility: UK, EU, and international applicants How to apply For further information please contact: Name: Professor Mark Jolly Email: m.r.jolly@cranfield.ac.uk Phone: +44-(0)1234 758466
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Strong organizational and communication skills Experience with Linked Open data and open data standards is an asset Fluency in English and French. German is a bonus We offer Multilingual and international
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Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment
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the final ranking. You can find more information at the following link: https://www.uc.pt/academicos/graus/reconhecimentos . III.2.3. Autonomous copy (one PDF file per paper) of the 3 to 6 papers
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photonics’, led by Assoc. Prof. Thomas Christensen, who moved from MIT to DTU in 2023. Funded by a Villum Young Investigator program (link ), the project aims to uncover novel kinds of photonic topology using
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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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, tailored to the needs and aspirations of the successful applicant. More information on the academic supervisor and EDC collaborations with JLR are available here: https://www-edc.eng.cam.ac.uk/people/nc266