243 computer-science-intern-"https:" "https:" "https:" "University of St" PhD positions in Netherlands
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As part of the ~30 Mio€ ‘SLDBatt’ project, the largest R&D project into battery technology for long-term
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Business and Management programme can be found on the RSM website Where to apply Website https://www.academictransfer.com/en/jobs/359347/fully-funded-phd-positions-in-s… Requirements Specific Requirements
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department with broad interests in biotechnology and synthetic biology across all domains of life. The research is funded as part of the NWO Open Technology Programme, and will involve collaboration and
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23 Mar 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Design engineering Engineering » Systems engineering Environmental science
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field of electronic circuits and systems. Job requirements Essential Requirements: MSc degree in Electrical / Electronic / Computer Engineering, or a closely related field. Solid background in digital IC
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of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It
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pioneers 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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strategic workforce planning. You will work at the intersection of foresight, labour economics, computational analysis, and interactive design to strengthen workforce resilience under accelerating twin
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companies and asset owners. International collaboration and industrial workshops are embedded in the project, providing you with excellent exposure and networking opportunities. Job requirements You are a
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, applied mathematics, computational biology, mathematical epidemiology, or a related quantitative field; you have strong training in at least one of the following fields: stochastic processes, statistical