23 assistant-professor-computer-science "https:" "https:" "https:" PhD scholarships in Netherlands
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at the intersection of behavioral, environmental and/or development economics assist in teaching activities be an active member of the Department of Spatial Economics Additional Information Benefits An active
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technology Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 15:00 (Europe/Amsterdam) Country Netherlands Type
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the Department of Industrial Design at Eindhoven University of Technology (TU/e), and Professor Dr. Daniela Pigosso in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU
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) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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17 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Modelling tools Geosciences » Geology Geosciences » Hydrology Researcher
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an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students. You will work in this team The Faculty of Science
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of theoretical computer science researchers in Amsterdam (https://theory.amsterdam ). What are you going to do? You are expected to: carry out original research in the field of theoretical computer science; have
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) If you have any questions or do you require additional information? Please contact: Sara Magliacane, Assistant professor, s.magliacane@uva.nl Where to apply Website https://www.academictransfer.com/en/jobs
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will help you with the visa application procedures for yourself and, if applicable, for your family. If you come with a partner, we offer a Dual Career group program organized by our Welcome Center
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contribute to open science practices. Responsibilities are: Planning and conducting large-scale cross-sectional data collections Independently performing appropriate statistical and computational data analyses