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Experience and practical knowledge of programming languages and tools (e.g. Python, Java, etc.) Knowledge in Software Engineering, AI, machine learning is an advantage Experience with software observability
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practical solutions for safer participation. Projects may be supervised or co-supervised by experts from Engineering Science and the Medical Sciences Division. Potential Supervisors: Prof. Thomas Okell, Prof
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supervisor: Dr. B Adams [XYZT], Co-supervisors/mentors: Prof. H. Sallouha [KUL], and Dr. R. Martinez [KUL] Required profile: Telecommunications, Electrical Engineering, computer science Desirable skills
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related subject. Excellent communication skills in English, both oral and in writing. Strong interest in Materials Science and the application and development of advanced computational methods. Excellent
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biology and AMR mitigation How to apply This project is offered as part of the Centre for Doctoral Training in Engineering Solutions for Antimicrobial Resistance. Further details about the CDT and programme
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Political Science at
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physics, materials science, computer science or a related discipline background in one or more of the following areas is desired: X-ray or electron imaging techniques, and image processing proficiency in
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is a high-profile, industrial-academic collaboration between
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The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark, Odense, invites applications for a PhD position in quantum programming languages. The position has
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, please select ‘Loughborough’ and select Programme ‘Mechanical and Manufacturing Engineering’. Please quote the advertised reference number * CSC-26-WS * in your application under the ‘Finance’ section