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The successful applicant will be employed at KU Leuven under the standard conditions for doctoral fellowships. The four-year fellowship provides for social and health benefits, office space, and a research budget
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space. This PhD-research aims to investigate the potential of (quasi-)distributed optical fibre sensing techniques for measuring groundwater fluxes through sensor development, lab and field experiments
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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about the Brussels Institute for Social and Population Studies (BRISPO): https://brispo.research.vub.be . IMPORTANT: The effective result of the doctorate scholarship is subject to the condition
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BAP-2026-103 Is the Job related to staff position within a Research Infrastructure? No Offer Description Urban green spaces are crucial for climate resilience, biodiversity and public health. Yet, most
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on holiday camps; The space to form your job content and to continuously learn through our VUB learning platforms and training courses; And finally: great colleagues with a healthy drive. 5 - Interested? Is
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populations are exposed to a complex mixture of environmental stressors, including air pollution, heat, noise, green space, and light pollution, that interact with socioeconomic vulnerability and health history
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elements of public space. The project has two core research pillars: 1. Spatial, Architectural, and Human-Space Analysis You will investigate how people use, move through, and experience wireless systems in
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of children, legal challenges in data spaces, AI and health law, privacy and AI, enforcement/supervision of ‘digital legislation’, etc. The candidate is expected to propose a research plan and explain how it
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environmental stressors, including air pollution, heat, noise, green space, and light pollution, that interact with socioeconomic vulnerability and health history to shape disease risk. Yet most clinical risk