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Field
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mitigating corrosion processes, and on the development of electrocatalysts and electrochemical sensors through the synthesis of materials and the use of advanced electrochemical methods and surface analysis
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the potential to advance the development of multi-sensory interactive technologies and the innovative design of immersive systems, as well as the modeling of intelligent adaptive behavior, thereby affecting
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aimed at designing evidence-based solutions for complex problems in educational practice. This approach allows for systemic analysis of the problem, iterative (re)design and evaluation of practice
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, belief systems and worldviews. In this way they provide philosophical and religious context to the societal debate and contribute to the analysis and solution of major societal challenges. The faculty has
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recruiting and selecting staff and students. You will collaborate with a team of clinicians (urologists/pathologists), experienced researchers with backgrounds in image analysis, machine learning, pathology
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Experience with life cycle assessment (LCA), material flow analysis (MFA), or circularity metrics. Background in product design, eco-design, design for circularity, or similar frameworks. Familiarity with
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order to develop advanced control, estimation, planning, learning and diagnostics strategies which are at the core of the intelligent autonomous systems of the future: Designing and realizing smart
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trade-offs. The research methods include document analysis, interviews with various stakeholders, including affected citizens, and a citizen survey among the Dutch general public. All PhD candidates
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carry out experiments using state-of-the-art methods Develop strong skills in data analysis and critical thinking Grow into an independent scientist while expanding your knowledge through your own
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apply new MRI sequences to visualize various aspects of the brain clearance system. • Develop and perform advanced data reconstruction, post-processing, analysis, and interpretation to gain new insights