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sechellensis) as a model system. The project is coordinated by Prof. Jan Komdeur (see: https://research.rug.nl/en/persons/jan-komdeur ), in collaboration with Prof. Martijn Egas (https://research.rug.nl/(...)ons
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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as Electronic Systems, Mathematical Engineering, Software, etc. The integrated stipend consists of two parts, A and B. During part A you are enrolled simultaneous in the Master’s programme and in
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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, BCI) Software engineering methodologies, best practices, and tools (e.g., GitHub, Markdown, LaTeX, DVC) Communication Skills: Proficiency in written and oral English (French is considered an advantage
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to electromechanical, electrical or control engineering. You are motivated, creative and have a passion for research. You have an affinity with both experimental research and simulation software. You must be
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. Ideally, candidate will have a working knowledge of key Driver Simulation software tools such as SCANER, UNITY and UNREAL ENGINE for transport simulations; hands on experience qualitative and/or qualitative
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machine learning, engineering, data sciences, applied mathematics, or another related field; or Have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
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the TargetRNA doctoral network (there will be two other PhD student in TargetRNA here at DTU) and to collaborate with and supervise undergraduate students. Research environment The laboratory of Assoc. Prof
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Temporary contract | 14+22+12 months | Full-time/40h | Belval Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research