463 programming-"https:"-"https:"-"https:"-"https:"-"University-Paris-Saclay" positions in Netherlands
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the guidance of your daily supervisors Dedmer van de Waal and Mandy Velthuis. You will develop a PhD thesis plan, prepare and perform the research, analyze the data, present your results at meetings and
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flood. About FIRM Flood Insurance and Risk Management (FIRM) is a five‑year research programme (2026–2030), funded by TKI Deltatechnologie, Nationale‑Nederlanden and contributions from more than 10
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of scientific publishing. Experience with mechanical testing and/or numerical modelling (e.g., Abaqus) is a bonus. You can independently plan, execute and communicate your research effectively. You
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for the overall implementation of the Vega and Space Rider programmes, including the Vega-C Competitiveness Improvement and Product Adaptation programmes and the Vega Evolution development programme. You will also
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course program tailored to your needs and the research team. The gross salary for the first year is € 3,059,- per month rising to € 3,881,- in the fourth year in according to the Collective Labour
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course program tailored to your needs and the research team. The gross salary for the first year is € 3,059.- per month rising to € 3,881.- in the fourth year in according to the Collective Labour
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interpretation and translational research. On successfully completing the EngD program, you will receive an Engineering Doctorate diploma - see here for more information. OnePlanet Research Center You will be
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programs in Rechtsgeleerdheid, Fiscaal Recht, Ondernemingsrecht, and Global Law (English-taught). Of the nine legal Master's programs, five are offered in a hybrid manner and six programs are English-taught
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University, we are investing in the next phase of our Bachelor's programme in Computer Science. We are looking for five Assistant Professors who are willing to contribute to the development of a young
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Join the NWO Perspectief FIND program and develop methods to adapt Transformer-based foundation models for defect detection where data is scarce and unlabeled. Explore few-shot learning, self