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3 years, full-time, English-taught, remote (flexible) About the programme The PhD in Economic Policy & Public Administration is a three-year, full-time, English-taught doctoral programme based
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(ILM), interacting with PhD students, postdocs, and master's students on related topics. We seek a motivated candidate holding a master's in physics, with skills in ultrafast/nonlinear optics or soft
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. Participating in active research environments including a stay at another research team. Obtaining experience with teaching or other types of dissemination related to your PhD project Teaching and disseminating
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
the MULTISPEECH team at Loria . The PhD candidate will be supervised by Slim Ouni (professor, University of Lorraine) and Mostafa Sadeghi (researcher, Inria), and will benefit from the research environment
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7 Jul 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Control engineering Engineering » Materials engineering Engineering » Mechanical
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more than 1,800 employees and 3,000 students in Lund, Malmö, and Helsingborg, the Faculty of Medicine is a knowledge-intensive environment where students, teachers, and researchers from all over the world
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promotion of gender equality and a family-friendly work environment supervision via a dual supervision concept, including a structured PhD project plan, international exchange, and a dedicated Thesis Advisory
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number of undergraduate and graduate students—including many PhD candidates—as well as postdoctoral researchers and visiting scientists. The laboratory covers a wider range of topics than its name suggests
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function. Through application of these methods to clinically relevant biological material, we aim to mechanistically dissect the role of DNA damage in aging and disease. Job description A PhD position is
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We hereby invite applications for one or more PhD position focusing on the development and application of hyperspectral imaging technologies for bulk forensic evidence analysis. The project aims