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of Behavioural, Management and Social Sciences (BMS), we unite the worlds of people and technology to address today’s complex societal challenges. We are passionate about understanding human behaviour, fostering
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systems, focussing on the inclusion of thermal aspects. You can leverage a large body of existing research and software for the efficient simulation of complex geometrically nonlinear mechanical elastic
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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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. Within this consortium, the PhD project in the Salvati lab will be focused on the development and standardization of novel methods for the characterization of nanomedicine dispersion in complex biological
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strong interest in animal behaviour and insect ecology. Specific requirements are: Strong analytical and quantitative skills, with the ability to work with complex behavioral datasets Proficiency in
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of the Open Competition Domain Science-M programme (Twenty-one innovative research projects awarded through Open Competition Domain Science-M programme | NWO - https://www.nwo.nl/en/news/twenty-one-innovative
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outcomes in the Netherlands and beyond. This data-driven project will use real-world data to examine how centralization affects equity in access, treatment patterns, and the integration of complex
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across infrastructure networks, studying how infrastructure administrators handle uncertainty and complexity across multiple organisational levels when managing their infrastructure assets. The candidate
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that support both economic and environmental resilience, recognizing the complex interplay between land rights, gender equity, and sustainable landscape governance in pastoral African communities. During
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number of teaching activities; Selection criteria: A master’s degree* in a relevant field (e.g., computer science, AI, Data Science), ideally with experience in network science (complex networks/social