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the Brain & Cognition group (Dr. Steven Scholte) at the UvA, where the PhD at UvA will focus more on quantifiying and modeling developmental stages, and the PhD at CWI on developing detailed neural
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, you will do research within the Biofabrication Utrecht teams with a specific focus on developing an advanced biofabrication toolbox for the next generation of sustainable living materials in life
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areas in Lower Saxony, Germany, and Fryslân, Netherlands, and is developing a Strategic Conservation Plan for meadow bird habitats in Western Europe and West Africa, including habitat restoration plans
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research lines 1. Behavior change strategies for reducing waste: You will develop and evaluate questionnaires and intervention strategies to understand and promote waste-reducing behaviors among healthcare
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assessment tools for OSH professionals. In this project, we aim to develop a 'Biological Exposome' risk model for the workplace using a layered approach, moving from qualitative to quantitative risk assessment
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. The candidate will join a lively and highly international team of PhD and Master students working on human demography, and ecology and evolution in wild animals, supported by laboratory and analytical technicians
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
an international and interdisciplinary supervising team and regional cultural institutions and stakeholders. A key part of the project is developing a case study in the Frisian region, which will involve building
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legislation and regulations; developing new visual analysis techniques. Depending on your experience, identifying opportunities for collaboration both within and outside WFSR may also be part of your role
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. Current practices are typically qualitative and ad hoc, which limits comparability and transparency across clients, especially in commercial insurance contexts. This PhD project aims to develop a structured
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. Examples of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world