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contamination in the semiconductor and EUV Lithography industries are important. As a PhD student in this project, you will perform in-depth (experimental) research which leads - through analytical modeling
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Irène Curie Fellowship No Department(s) Industrial Engineering and Innovation Sciences Reference number V39.7546 Job description In the era of smart industry, where advanced technologies and data
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the broader context of a socially and ecologically sustainable society. Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video . Information Do you recognize yourself in
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analytics for large event sequences and high-dimensional data. It has generated several award winning contributions at major visualization conferences (IEEE VIS, IEEE InfoVis, IEEE VAST, EuroVis); several
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problems of today and tomorrow. Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video. Information Do you recognize yourself in this profile and would you like to know
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supervision. The PhD will have access to courses offered by Eindhoven University of Technology, and will be able to attend national and international scientific conferences. For more detailed information on
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We are seeking a highly motivated PhD student who is interested in pursuing research at the interface of control systems and optimization for smart grid technologies. Irène Curie Fellowship
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analytics engine, with capabilities on par to the ones offered by state-of-the-art databases for static data. This is a Teaching PhD position. Throughout your PhD you will spend some time helping with
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. The PhD will have access to courses offered by Eindhoven University of Technology, and will be able to attend national and international scientific conferences. For more detailed information on
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/continual learning with evolving data Job requirements Master’s degree in Mathematics, Statistics, Computer Science, or a related field Excellent analytical and mathematical skills Affinity with developing