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Field
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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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responsibilities will be: undertake research in the comparative linguistics of reason-giving, through observation, description, typology, and theory assist with coordination of team research in the “Reason-giving in
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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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mechanics and propulsion, for which the AEROSQIN project constitutes a perfect framework. The candidate will advance techniques for large-scale 3D particle tracking by merging measurement theory and practice
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traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where possible. This innovative new approach enables more efficient and
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neural receiver, from reflecting intelligent surfaces (RIS)/integrated sensing and communications (ISaC) to network design using O-RAN, from statistical learning theory to software defined radio (e.g
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need crafting among adults, university students, and secondary school students. Need crafting refers to a construct within Self-Determination Theory that captures individuals' proactive capacity
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theory Familiarity with code development for Software Defined Radio systems and suitable programming environments (e.g., Python, APIs, automation frameworks, Jupyter, etc.). Experience in program
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/ or remotely). FPGA / device control software development. Explore quantum sensing via colour centres in 2D materials and diamond. Liaison with collaborators from U Santiago de Compostela (USC) and INL theory
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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