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mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with
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at CSIC and UCM in Madrid, as well as Aarhus University, in a joint effort between the ERC Synergy project METRIQS and the Villum Young Investigator programme DynamiQ. Responsibilities and qualifications In
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. Excellent communication skills in English and the ability to work collaboratively. The ability to direct and take ownership of research projects. Desirable Experience with the zebrafish model Experience with
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proficiency in written English is a requirement. As a formal qualification, you must hold a PhD degree (or equivalent). The following knowledge and skills will be seen as assets: Experience in leading coastal
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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simulation models (e.g., EnergyPlus, IDA ICE or similar). Good understanding of building physics Proficiency in programming e.g. in MATLAB, Python or similar environments for modelling and data analysis. A
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candidate is expected to have high motivation and independence and good English communication skills as well as being a team player. Familiarity with openFoam and some experience in experimental methods is
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
particular with Large Language Models. Solid programming expertise in Python. Be the main author in at least one journal publication in the area of AI4SE, published at a high impact journal. Experience with
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. https://jura.ku.dk/privategovernance/english/research/mercury/ Duties and Responsibilities It is a 100% research position. About the position The position is focused on understanding and evaluating
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, coordinated by Aalborg University and funded by the EU’s Horizon Europe program. The project aims to improve fiber-to-fiber textile recycling across Europe by developing smarter sorting systems, recycling