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Do you make the metrology tools of the future? Job description As semiconductor feature sizes are going down, device complexity is going up, and high yield is critical there is an urgent need
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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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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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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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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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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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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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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