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. The primary research goal of the PhD student will be to integrate multisensory exposure (visual, vibration, … ) into the design of listening tests – all with the aim of better understanding the complex
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spatial planning. Translate scientific results, in collaboration with stakeholders, into clear, engaging visualizations and communication materials that support understanding and inform evidence-based
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, including physical and social landscape processes, and pressing environmental challenges in rural and urban areas in the Netherlands; A proven ability in evidence-based landscape analysis (including visual
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skills. Preferred Qualifications: Prior research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization
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processes, and pressing environmental challenges in rural and urban areas in the Netherlands; A proven ability in evidence-based landscape analysis (including visual representations) on the regional scale and
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) for terabyte-scale 3D histology images, from preprocessing to analysis and validation. Handle and visualize large 3D microscopy datasets. Image optically cleared and labelled samples with 3D microscopy methods
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leveraging visual perception of human actions, object properties, and scene context. It integrates machine learning tools, knowledge representation, and robot actions design to develop decision-making
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teamwork skills Good knowledge of English Research experience (e.g. involvement in international scientific projects) Knowledge in the fields of high-performance computing and scientific visualization is
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those with lived experience of disabilities, through ethnographic and research-through-design approaches. Background Around 25% of the Dutch population lives with long-term visual, hearing, or cognitive
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