157 computer-science-eindhoven-university-of-technology-tu PhD positions in Netherlands
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services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain
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include sustainable energy, process technology and materials science, nanotechnology and technical medicine. As part of a people-first tech university that aims to shape society, individuals and connections
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technology, physical chemistry, or related disciplines; experience of working in a lab is essential. Basic knowledge on food ingredients, food structures and physical phenomena is needed; work in an
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a global outlook. It consistently ranks among the top 100 universities worldwide and is renowned for its high-quality research and education. Flexible study programmes and academic career
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Organisation Job description This fully funded PhD at the University of Groningen (NL) is an independent research project titled Where Rivers Speak and Landscapes Remember. The selected candidate
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' university of technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and
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detection. Together with a team of four analysts, you will work on challenges such as identifying plant components, detecting insect residues, and spotting packaging materials in animal feed. It is also
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skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric reactions. World-leading industrial partners with a wide range of interests will provide advice on which
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the collective bargaining agreement for Dutch universities It is an employment contract for the duration of 3 months, ending by operation of law after this period. A salary, depending on qualifications and work
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together academic research groups with expertise in experimental catalyst development and theoretical groups skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric