781 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Netherlands
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well as application driven. This is done in close cooperation with the chemical, flavor & food, medical and high-tech industries. Research is organized into four themes: Analytical Chemistry , Computational Chemistry
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Programme Economics and Business Economics, including (applied) econometrics courses and the major “Health and Behavioural Economics”. The PhD student will be affiliated with the Tinbergen Institute and will
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, scientists with expertise in metabolic engineering, enzyme engineering, computational modelling, and process optimization will work together. By combining microbial strains with synthetic metabolism with
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will generate an opportunity for the Intern to work closely with experienced experts on System level space mission design. Candidates interested are encouraged to visit the ESA website: http
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according to agreed development plans, in compliance with the applicable System requirements, standards and System Engineering requirements. Candidates interested are encouraged to visit the ESA website: http
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Deadline 31 May 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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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 The Strategy Economics research group in the Applied Economics Department is
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the chemical, flavor & food, medical and high-tech industries. Research is organized into four themes: Analytical Chemistry , Computational Chemistry , Synthesis & Catalysis and Molecular Photonics
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in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in
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for Technology-Inspired Regenerative Medicine (http://merln.maastrichtuniversity.nl/) as part of the DRIVE-RM project. The computational group led by Aurélie Carlier focuses on multiscale computational modelling