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study across the human sciences because of its importance for individuals and societies. Sociological and demographic research has developed numerous theories of fertility and produced a sophisticated
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: refining the project’s research questions, interview protocols, coding frameworks, and analytic approaches; leading one or more strands of data collection and analysis, including semi-structured interviews
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and explanation within dynamic contexts. Possible research directions include mechanistic interpretability of multimodal models, concept-based explanations grounded in affect and behaviour theory, and
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interested in mentoring and supporting MSc and PhD students. You are a machine learning enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present
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of the project and help shape its further development through activities such as: refining the project’s research questions, interview protocols, coding frameworks, and analytic approaches; leading one or more
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to learn about, (road) network traffic flow theory and simulation. You are interested in mentoring and supporting MSc and PhD students. You are a machine learning enthusiast (and realist). You love coding
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geothermal-induction theory. The candidate will be employed at TU Delft, but will also carry out work together with KNMI (at De Bilt, NL), and will be embedded in the lively Geothermal Theme of TU Delft
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learning to understand and predict the behavior of cardiovascular tissues and organs across scales. You will work closely with PhD students, MSc students, and international VITAL partners. This is a full
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, ensuring the agent's responses are pedagogically valid, contextually appropriate, and consistent with collaborative learning theory. Scaffolding mechanism design. In close collaboration with the PhD
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legal and philosophical accounts of self-determination and recognition. Situated at the intersections of legal philosophy, constitutional theory, postcolonial studies, and international legal history