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, interdisciplinary team. A proven ability to manage complex projects to completion on schedule. Excellent (written and verbal) proficiency in English, good communication and leadership skills. Additional Information
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metrology tools is continuously challenged by stricter requirements and increasingly complex geometries. In this project, you will work on the ideation, modeling, and experimental validation of novel
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advanced algorithms for solving complex optimization problems. You will work with real-world case studies to design future-proof supply chain networks for key agricultural products in vulnerable regions
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descriptive and association studies, complex systems analyses, automated extraction data analysis and methods-needs matching Your PhD position is part of the Academic Research Network HTA, a collaboration
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degree in a STEM field. You love physics and complex systems and are either familiar with, or very eager to learn about, (road) network traffic flow theory and simulation. You are a machine learning
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of the way. With 3,200 m² of state-of-the-art lab facilities, housed in a museum with more than 40 million natural history objects, dedicated mentorship, and access to our broad international network
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to reuse a building is complex. Multiple stakeholders and criteria need to be considered, while existing buildings and locations impose technical and spatial constraints. At the same time, there is
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complex dynamic system. Minor disruptions can lead to major delays with traffic jams spreading like oil spills over entire networks. We believe traffic management based on reliable predictions is therefore
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for advancing sensor technology and bioengineering. The research is done in the context of the Institute for Complex Molecular Systems (www.tue.nl/icms ). The groups initiated and organize the international
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agricultural economics who can translate complex policy challenges into rigorous research programmes, lead multidisciplinary teams, and communicate findings clearly to decision-makers. You bring deep knowledge