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isotopic changes in plants; investigation of the local Suess effect through tree rings study; systematic analysis of the isotopic variation between ungulates, rodents and lagomorphs; assumption of several
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Regional Outcomes Application Deadline: 9 August 2026 Start date: 1 October 2026 With public trust at an all-time low, following regular spills of raw sewage into rivers and waterways, England and Wales face
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methods like (panel) survey, lab experiments focus groups, and data donation. Each PhD Candidate will write a paper-based dissertation and strive to publish the results of the individual sub-studies in
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Car tires are very important and complex parts with high safety and reliability requirements, responsible for maintaining the contact between a vehicle and the road. Tires are subject to wear due to
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
research environment within a prestigious European training network. Competence requirements To be admitted for studies at third-cycle level, applicants are required to have completed a second-cycle level
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requirements To fulfil the general entry requirements, the applicant must have qualifications equivalent to a completed degree at advanced level (second-cycle), or completed course requirements of at least 240
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The Faculty Social Sciences & Solvay Business School, Department Communicatiewetenschappen, Research Group Studies in Media, Innovation and Technology is looking for a PhD-student with a doctoral
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Number 101261699 Is the Job related to staff position within a Research Infrastructure? No Offer Description General Scope: This thesis project, conducted at the Institut Néel, aims to study InAs/Sn
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set up and conduct intervention studies on olfactory training, cognition and brain plasticity. In this PhD project, you will study whether daily smell training can improve olfactory and cognitive
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improve the reliability of haemodynamic metrics derived from Flow MRI, enabling their direct use in clinic to support cardiovascular disease management. Expected Outcomes Develop a novel machine learning