232 data "https:" "https:" "https:" "https:" "CNRS" "Grenoble INP Institute of Engineering" PhD positions in Netherlands
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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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12 Jan 2026 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Computer science » Modelling tools Computer science » Programming Environmental science » Earth
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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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your experience will benefit the … Where to apply Website https://www.academictransfer.com/en/jobs/357640/phd-in-strengthening-of-dutch-h… Requirements Additional Information Website for additional job
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9 Jan 2026 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Geosciences » Geology Researcher Profile First Stage Researcher (R1) Country Netherlands Application
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PhD Position in Sequential Decision-Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 15 May 2026
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-traced models of the structures, based on STL files, 3-D voxel data and other input. You work closely with the rest of the team to integrate your models with the microscope hardware and GUI, with advanced
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independent theory- and data-driven historical research; demonstrable experience and/or affinity with the application of digital techniques in historical research; a proactive attitude: you work independently
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cooperation and coordination problems. What are the conditions for interorganizational collaboration to succeed? For further information: Birgul (Rose) Arslan Opens external . Idea management and innovation
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: 10 May 2026 Apply now Predicting ecosystem dynamics under global change requires accurate, high-resolution soil information. Existing global soil maps are largely based on empirical machine learning