232 data "https:" "https:" "https:" "https:" "Dr" "L2CM" "L2CM" PhD positions in Netherlands
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. Where you will be working You will work within the Physical-Organic Chemistry department as part of the Big Chemistry Robotlab team. At the Robot Lab, a team of chemists, computer scientists and engineers
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of position: September 2026. Screening is part of the selection. For more information regarding this position, you are welcome to contact Dr. Jeroen Meijerink (j.g.meijerink@utwente.nl). About the department
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education; contact information of two referees, for example previous supervisors. For more information you are welcome to contact Dr. Bettina Schwab (b.c.schwab@utwente.nl) Screening is part of the selection
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the European Research Council (ERC). The principal investigator is Assistant Professor Dr. Anna Zhelnina. The research team will consist of the principal investigator, a PhD candidate, and two post-doctoral
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the Department of Economics ), as well as of EsCHER - Erasmus Centre for Health Economics Rotterdam . Additional information Contact person about this vacancy: Dr. Teresa Bago d’Uva (bagoduva@ese.eur.nl
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experimental campaign to characterize its performance. You will be responsible for setting up a state-of-the-art data acquisition system to monitor temperatures, flow rates, and power consumption. Your
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varying sectoral, urban, and regional contexts. Research in this group addresses crucial sorting, heterogeneity, and causality issues on these themes. Additional information Contact persons: Dr. Jolanda
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medical center, who share an interest in intensive longitudinal data. This project will be supervised by Dr Erik Bijleveld in collaboration with Dr Fred Hasselman and Prof. Sabine Geurts. Faculty of Social
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(one of whom could be the supervisor of your thesis/final project) who we may contact for references For more information regarding the topic of position, you are welcome to contact prof. dr. Thomas
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Application deadline: 31 January 2026 Apply now Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata