47 engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"INSA-RENNES" PhD positions in Netherlands
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its strategy, DSI initiates and coordinates research and funding initiatives, as well as public-private partnerships. About the organisation The faculty of Electrical Engineering, Mathematics and
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the University of Delft, and many stakeholders in secondary education, autism advocacy, and other important partners. About the organisation The faculty of Electrical Engineering, Mathematics and
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hospitals more efficient and numerical schemes to study multiscale fluid problems and wave propagation from nano to kilometer scales. About the organisation The faculty of Electrical Engineering
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | 26 days ago
10 Nov ’26 Published yesterday Vacancy ID 2026/558 Apply now 61 days remaining Save Get personalised job matches! Create an account in 2 minutes! Research fields Engineering; Physics Job types PhD
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laboratory. You have, or will shortly, acquire a master degree in the field of chemical science and / or engineering. You have a creative mindset and excellent analytical and communication skills. You
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Aug ’26 Published yesterday Vacancy ID 2580 Apply now 20 days remaining Save Get personalised job matches! Create an account in 2 minutes! Research fields Engineering; Chemistry Job types PhD Education
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coastal geomorphology, environmental engineering, sedimentology, hydrology, earth sciences, environmental science, civil engineering, physical geography, environmental governance. Required skills
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: 2 October 2026 Apply now The Department of Earth Sciences is looking for a highly motivated PhD candidate with an MSc background in Earth Sciences, Civil or Hydraulic Engineering, or other appropriate
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October 2026 Apply now The Department of Earth Sciences is looking for a highly motivated PhD candidate with an MSc background in Earth Sciences, Civil or Hydraulic Engineering, or other appropriate
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, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with deep generative models (VAEs, GANs, diffusion