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and patient representatives within an interdisciplinary research network. • Publishing research findings in scientific journals, presenting results at national and international conferences, and
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historians and papyrologists as well as archaeologists and Egyptologists at KU Leuven, in collaboration with other research networks and projects at the university (including Trismegistos+ and ICAG) and beyond
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PhD in Optical Characterization and Photonic Performance Analysis of Liquid Crystal Polymer Coatings
matrix analysis, and imaging-based optical measurements; evaluate RGB projection quality, image contrast, colour fidelity, modulation transfer, and stray-light suppression; study optical performance under
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validation of safety signals across observational data networks. Key research areas may include: Developing and evaluating AI-solutions in line with responsible AI principles (e.g. robustness, fairness
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Systems - Jülich Systems Analysis (ICE-2) is the unbiased, scientific investigation of technologies, technology paths, value chains and market ramp-ups in future energy systems, considering material
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across the Netherlands and leading international institutions, including the Karolinska Institute, providing a vibrant network of expertise and opportunities for collaboration at the crossroads of clinical
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, as well as bioinformatics and the analysis of large datasets. Additionally, the PhD student will be part of the Swiss-wide NCCR AntiResist consortium, with lots of opportunities for scientific exchange
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biodiversity and nature restoration. You have a strong interest in quantitative research methods (economic modelling, statistics, data analysis, …). Fluency in both spoken and written English and good reporting
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implementation. We collaborate closely with other UMCs across the Netherlands and leading international institutions, including the Karolinska Institute, providing a vibrant network of expertise and opportunities
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restrictions, and national security considerations may constrain the international mobility of researchers, potentially reshaping global knowledge networks and innovation outcomes. This PhD project examines how