161 programming-"https:"-"https:"-"Data-driven-Materials-Modeling" PhD positions in Netherlands
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work internationally, and participate in TU Delft’s extensive training programme. The position is embedded within the globally recognized Department of Hydraulic Engineering (HE) at TU Delft, renowned
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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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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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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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scientific programming and an excellent command of English. Advantages (but not required) Background in systems and control. For example, familiarity with stability analysis, state-space methods, jump-flow
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implementation and application. Basic knowledge and a keen interest in physical problems (especially inverse problems) and scientific applications. Strong programming skills (preferably Python). Ability to work
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the requirements of the Belastingdienst (Dutch tax agency), and with our Dual Career Programme we will also help your partner find the right job for them. Employer Erasmus University Rotterdam (EUR) is
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from the state-of-the-art research facilities and financial support programme through the ERIM Support Programme (ESP), that ERIM set up for a wide range of research-related activities such as
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to plan for the future. Therefore, the system in which planning decisions regarding climate-proofing the city are made should be well understood to identify the factors that lead to the success or failure