69 assistant-and-professor-and-computer-and-science-and-data-"the" positions in Netherlands
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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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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
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, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
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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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Public Space, telephone +31623635005 or by e-mail arjan.hijdra@wur.nl or dr. Barbara Tempels, assistant professor, telephone +31639088920 or by e-mail barbara.tempels@wur.nl . Questions about the
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information, you may contact (please do not use these email addresses for applications): Ellen van der Werff, Associate Professor - Environmental Psychology, ellen.van.der.werff@rug.nl Gabriel Muinos, Assistant
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. Wilhelm, Assistant Professor in Control of Robotic Systems for Assistance and Rehabilitation, e.wilhelm@rug.nl (please do not use the email addresses above for applications)
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Technology) Dr Riemer Vegter (YAG, UMCG, Assistant Professor in Human Movement Sciences) Prof. Martijn Wieling (Faculty of Arts, Professor of Groningen Language and Culture) Prof. Han Houdijk (UMCG, Professor
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relevant discipline (e.g., data science, computer science, engineering science, artificial intelligence, or health science/psychology with specialization or additional training in data science); Demonstrable