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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
available, to support your accompanying partner with their job search in the Netherlands. Additional information If you would like more information about this vacancy or the selection procedure, please
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and product improvement, materials, processes and (mechanical) systems. ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also
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PhD positions on integrated quantum photonics at QuTech Job description Are you motivated to discover the qubits that build the quantum information processing machines of the future? Do you want
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on topics related to global talent interdependencies and innovation; Collecting, processing and analysing large-scale data (e.g. publication, patent, and career data); Writing and publishing research papers
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AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
information If you would like more information about this vacancy or the selection procedure, please contact Dr. M. J. Ribeiro, via [email protected] . Application procedure Are you interested in
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we have set up a dual career programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. For more information, see the website . Application procedure Please submit
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), with project number 101324772, within program HORIZON-JU-ER. Application procedure Are you interested in this vacancy? Please apply no later than 1 September 2026 via the application button and upload
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Biology) via [email protected]. Do you have a question about the application procedure? Please send an email to [email protected] . Apply now At Utrecht University, we strive to be a place where
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. These computational models can provide crucial mechanistic insights into the key parameters governing these processes, inform targeted in vitro experiments, and help design better biomaterials and TE strategies