321 computer-science-intern "https:" "https:" "https:" "https:" positions in Netherlands
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programme management across the Agency consistent, transparent, and future-ready. As the custodians of the Programme and Project Management Requirements, we ensure that these standards evolve with
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10 Jan 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Electrical engineering Engineering » Electronic engineering Researcher Profile
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) Country Netherlands Application Deadline 15 Feb 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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executive MBA programmes. For more information about the group: https://www.rsm.nl/research/departments/technology-and-operations-management/business-information/ Job description You educate and inspire
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9 Jan 2026 Job Information Organisation/Company NIOZ Royal Netherlands Institute for Sea Research Research Field Biological sciences » Other Chemistry » Biochemistry Environmental science » Earth
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different bodies. The main languages from and into which texts are translated are English, French and German. The Division maintains a trilingual terminology database with over 30,000 terms and uses computer
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9 Jan 2026 Job Information Organisation/Company NIOZ Royal Netherlands Institute for Sea Research Research Field Biological sciences » Other Environmental science » Earth science Environmental
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Eindhoven University of Technology, Department of Mathematics and Computer Science Position ID: TUe-MB [#27895] Position Title: Position Type: Tenured/Tenure-track faculty Position Location
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28 Dec 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Design engineering Sociology » Urban sociology Researcher Profile First Stage
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competencies Education You should have completed within the past five years or be close to completing a PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science