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to impactful, data-driven research with a global perspective, and help improve healthcare systems and address inequalities. Under the supervision of Professor Maarten J. IJzerman and co-promoter Dr. Nora Franzen
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chemistry) laboratory; statistical skills for proper data treatment ; experience with programming (R or Python) for data handling and visualisation; strong analytical skills; excellent communication skills
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questions? Dr. Sven Karbach Assistant Professor of Data-Driven Mathematical Finance Email: s.karbach@uva.nl Dr. Mike Derksen Senior Quantitative Trading Developer at Deep Blue Capital Email: mike.derksen
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variability. In this PhD project, you will develop and apply cutting-edge analytical chemistry techniques to tackle this challenge. Using both targeted and non-targeted liquid chromatography–mass spectrometry
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, climate sciences, mathematics, or geo-information science or a similar relevant field, and are you proficient in programming with R/Python? Then we have the perfect opportunity for you! The Team
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exemption on a part of their salary during the first five years in the Netherlands. Do you want more information? For more information about the position, please contact Dr. Fedor Miloserdov, Assistant
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experimentation, and machine learning to help design the next generation of sustainable food ingredients and products. You also possess: a successfully completed MSc degree in food technology, food science, data
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everything to do with being well informed. We can assist you with any additional advice and information about for example helping your partner to find a job, housing, or schooling. Finally, certain categories
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Radboud University. You will work closely with Dr Margriet van Hek (Assistant Professor of Sociology, daily supervisor) and Gerbert Kraaykamp (Professor of Sociology, PhD supervisor) and Mark Levels
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in real-world applications for energy storage and conversion. Tijs Karman Assistant professor in Theoretical and Computational Chemistry, Radboud University, Institute for Molecules and Materials Tijs