243 assistant-professor-computer-science "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD positions in Netherlands
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in the field of educational sciences, with a focus on GenAI, reading comprehension, feedback, and self-regulated learning (SRL). This 4-year PhD project is situated within a broader research programme
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disciplines and with a variety of perspectives and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics
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2 PhD positions in Statistics Faculty: Faculty of Social and Behavioural Sciences Department: Social Sciences Hours per week: 36 to 40 Application deadline: 26 April 2026 Apply now Help shape
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Vacancies PhD position on: “High pressure CO2 electrolysis to formate / formaldehyde” Key takeaways Are you passionate about electrochemical engineering and materials for electrochemical conversion
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for your job with EUR? Then you may be eligible for the 30%-ruling if you meet the requirements of the Belastingdienst (Dutch tax agency), and with our Dual Career Programme we will also help your partner
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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 an internationally oriented
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& Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure. Visit us
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Optimisation and Operations Research. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute
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approaches often fail to consider lifecycle performance and the unique constraints of AM processes. The PhD candidate will combine materials science, computational modelling to design a novel framework that
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processes. The PhD candidate will combine materials science, computational modelling to design a novel framework that identifies optimal materials and AM processes based on performance, sustainability, and