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at the University of Twente have a vacancy for a PhD student on the research topic “sensing viscosity in liquids”. Flow sensors for measuring the speed of liquids find application in many industrial setups where
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the Eustachian tube; (2) access the olfactory clefts for mucosal biopsy; (3) access the skull cavity through the nose and the cribble plate for cerebrospinal fluid biopsy. This specific PhD proposal on light
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10248 Is the Job related to staff position within a Research Infrastructure? No Offer Description Geophysical fluid dynamics (glaciers
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Recognised Researcher (R2) Positions PhD Positions Application Deadline 6 Aug 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date
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Vacancies PhD position "Synthetic Active Matter: Unravelling 3D Real-Space Dynamics" Key takeaways The project focuses on the experimental realization and study of artificial microswimmers
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the viscosity of flows. Job description Continuous, non-invasive measurements of fluid properties are instrumental in factories that produce food, medicine and semiconductor products such as microchips and solar
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relation to the research group Fluid Power and the PhD Student will be positioned to the section for Mechatronics. Your competencies The ideal candidate for this PhD position should have a strong academic
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phenomena (computational fluid dynamics) with a focus on symmetries and conservation laws. The project team consists of three PhD students working complementarily on quantum real-time simulations, as
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Ultrasound sensors for quantitatively measuring the viscosity of flows. Job description Continuous, non-invasive measurements of fluid properties are instrumental in factories that produce food
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are invited for a fully-funded Industrial Doctoral Landscape Award, offered in partnership with Rolls-Royce, to tackle key challenges in the design of aeroengine oil systems using multiphase Computational Fluid