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scientists, Research Fellows and PhDs in a vibrant research environment at UNU-MERIT and at partner organizations – UCL (Jack Stilgoe), CWTS at Leiden (Rodrigo Costas), Ingenio at CSIC-UPV (Ismael Rafols), and
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, socio-spatial inequalities and real estate applying quantitative, qualitative and mixed research methods. Our ideal candidate should have: A PhD-degree (or nearly finished) in the field of economic
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. Validate and test these solutions with respect to the classical methods. choose an appropriate data processing board, optimise the existing software that has been developed, tested, and validated, and then
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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neurosymbolic AI to extract information from unstructured text. Use NLP methods for modelling narrative text. The focus on each of these tasks can vary based on the expertise of the applicant. The University
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Employment 0.8 - 1.0 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Arts Application deadline 26 August 2025 Apply now Are you interested in social
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, while working in an ambitious, motivated, and multi-disciplinary team of veterinarians, clinicians, material scientists, biologists, and engineers. You will also participate in the co-supervision of PhD
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for the participation in multiple international conferences and interaction on site with project partners. Your qualities The ideal candidate: holds a PhD in a topic related to energy science, geoinformatics
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of representation of belonging, both in the formal institutional space of education and healing, as well as informal spaces of sports, popular culture, and urban arts. The goal of the project is to come to a more