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, City Campus Term: 3 years full-time, tuition fees included About the Project We are seeking highly motivated PhD candidates to join our multidisciplinary team developing novel multiplex (bio)sensing
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24 Mar 2026 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Economics » Applied economics Economics » Economics of development Economics » Environmental
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The University of Exeter’s Department of Clinical and Biomedical Sciences is inviting applications for a PhD studentship funded by Diabetes UK to commence on 21 September 2026 or as soon as possible thereafter. For eligible students the studentship will cover Home tuition fees plus an annual...
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We are looking for a full-time PhD candidate to join the research group ‘Language Evolution and Adaptation in Diverse Situations ’ (LEADS), led by Dr. Limor Raviv , at the Max Planck Institute
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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thin films for emerging technologies. By combining state of the art physical vapor deposition, high throughput experimentation and data science, we develop thin films with enhanced performance and
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at European XFEL enable scientists from across the globe to carry out a wide range of experimental techniques. For our Data Analysis group we are looking for a PhD Student (f/m/d) for development of strategies
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looking for a full-time (100%) doctoral scholarship holder in the field of “Development of a Zebrafish Model of SMAD3-Dependent Thoracic Aortic Aneurysm for In Vivo Drug Screening”. Join us in tackling a
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of an integrated theory that explains individual variation in language acquisition across development. Job description The PhD candidate will be appointed within the Department of Developmental Psychology at Tilburg
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fields such as data science, computer science, and mathematics, that work together to develop innovative methods and tools to analyze large-scale data sets and gain insights into the underlying principles