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Do you have a background in quantitative methods and an interest in the topic of educational inequality? Are you enthusiastic about the opportunity to be part of a larger team and develop and
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We are looking for a motivated PhD candidate in the social and behavioural sciences with a quantitative background for the project “Technostress amongst teachers in primary education”. The aim
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mechanisms of cell division in relation to cell wall synthesis, with the aim to discover protein targets that can be used to develop novel antibiotic lead compounds. The position is supported by a recently
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, this project aims to develop a personalized culturally-sensitive chatbot-based intervention that allows three generations of Dutch-Moroccan and Dutch-Turkish migrants with depression and/or NSSI to engage in
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Phd Position in Multiscale Spatiotemporal Modelling of Microbiome During the First 1000 Days of Life
experiments, to develop computational models relying on spatial modelling techniques such as cellular Potts and reaction-diffusion models that capture the interactions between the macroscopic changes in
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to the vibrant academic life in Amsterdam by attending ASCoR’s PhD club, workshops, meetings, and lectures; conducting teaching-related tasks in the Bachelor programme of Communication Science (10% of your time
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management; develop a computational framework for ensuring accountability in the context of a digital government. This research will be done in collaboration with a PhD candidate from Delft University (TBM
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behavior under different conditions; Conduct a risk assessment to identify potential hazards and develop safety protocols; Perform an economic analysis to evaluate the costs and benefits of different
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experts with developmental, cognitive, and evolutionary perspectives on psychology. What are you going to do Develop and analyse (agent-based) models of skill learning in a social world Take the lead in
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interested candidates to prepare short proposals (details below) that could, for instance, examine: The (invisible) labour behind artificial intelligence; Bias and discrimination in AI applications; AI and