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… Requirements Specific Requirements Education: A PhD in Mechanical Engineering, Aerospace Engineering, Atmospheric Science, or a related field with a strong focus on Computational Fluid Dynamics (CFD). Technical
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collaboration with the Analytical Sciences department of dsm-firmenich in Delft (NL), where two systems are installed for segmented flow high throughput NMR. You may work with PhD or Masters students enrolled
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://www.academictransfer.com/en/jobs/359802/postdoc-in-hybrid-intelligence-… Requirements Specific Requirements PhD in Computational Linguistics, Computer Science or Artificial Intelligence At least two of the following
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. Qualifications: PhD degree in neuroscience (or equivalent) Fluent in English (spoken and written) Research experience in molecular and cellular biology Affinity with experimental animal work As a university, we
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Ab-initio Biowaste Loop (ABEL), led by Delft University of Technology and funded by the Netherlands National Research – (NWA-ORC) programme. Work at the interface between science and policy ABEL, a
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requirements We look forward to dynamic candidates that want to get their hands onto a real mission and bring a contribution to society. You also have: A PhD in engineering (computer science, aerospace
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29 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Engineering » Design engineering Researcher Profile Recognised Researcher
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, musicology, mathematics, computer science, artificial intelligence and cognitive science. You will be part of the GOOD INTENSIONS research team. Work within the GOOD INTENSIONS project is highly collaborative
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interdisciplinary and brings together insights from various disciplines concerned with information and information processing, such as logic, philosophy, linguistics, musicology, mathematics, computer science
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-in-cyber-… Requirements Specific Requirements A PhD degree in data science, computer science, artificial intelligence, operations research, econometrics, or a closely related field; Demonstrable