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flexible terms of employment based on the CAO NU. In addition to the terms of employment external link laid down in the CAO NU, Utrecht University has a number of schemes and facilities of its own
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in the Bachelor’s and Master’s programmes of the department at Utrecht University. Your qualities You are motivated about the research, take initiative to develop ideas, self-driven and can work
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SPINES project. The SPINES project is a collaboration between Radboud University, the University of Twente, University of Groningen, Utrecht University of Applied Sciences, the main infrastructure
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parental leave and flexible terms of employment based on the CAO NU. In addition to the terms of employment external link laid down in the CAO NU, Utrecht University has a number of schemes and facilities
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September 2025 Apply now Join the Van ’t Hoff Laboratory for Physical and Colloid Chemistry at Utrecht University as a PhD candidate in a collaborative, non-hierarchical research environment. You will be part
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the Paleomagnetic Laboratory at Utrecht University, NL - personal and family friendly work environment - culture-rich cities like Dresden and outdoor opportunities like Saxon Switzerland nearby Your profile: - strong
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the supervision of Prof. Dr. Paul De Hert and produce high quality research outputs. Engage in secondments as part of the project’s training activities (6 months at Utrecht University under the co-supervision of Dr
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techniques could quickly have a large impact and reach a large audience of end users. Beyond Utrecht University, we anticipate collaborating with international partners including the Center for Computational
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generated for natural selection to act on. In this joint PhD project between the University of Groningen (promotors Prof. Martijn Egas and Prof. Rampal Etienne) and Utrecht University (co-promotor Dr. Bram
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models. In this work package, two PhD candidates (one at Wageningen University, one at Utrecht University) will focus on complementary modelling objectives. The candidates will partly work together. Data