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) Country Netherlands Application Deadline 19 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not
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We are hiring two PhD-candidates for a project that investigates language-related degree-awarding gaps in Dutch higher education. Are you interested in using AI and text mining for investigating
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neuroscienceanalyses to MRI data from multiple species , the project aims to study the evolutionary basis of human cognition —including language, working memory, theory-of-mind , and the specialized brain networks
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of sediments, carbon, pollutants, nutrients, oxygen, and heat from the continental shelves to the deep ocean. Training A personalised training programme will be set up reflecting your training needs and career
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. This PhD position is part of the Novo Nordisk Foundation–funded interdisciplinary research program RECIPE (Towards Implementing Resilience: Identification and Mitigation of Chemical, Physical, and Biological
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
challenges. Proficiency in at least one programming language used for scientific or analytical purposes, e.g., Python. Excellent communication skills in English, both written and verbal. For more information
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quantitative analysis. Interest in agent-based modelling, network analysis, computational economics, systems thinking, and climate-related challenges. Proficiency in at least one programming language used
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-driven modelling, probabilities, and stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python
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21 Nov 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Researcher Profile First Stage Researcher
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program characteristics. You will conduct a series of studies: a literature review on the factors causing language-related degree-awarding gaps; constructing and analyzing a large set of student data (in