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for MRI, this opportunity is for you. MRI is an incredibly powerful medical tool, but it is not used to its full capacity. Current MRI mostly uses the hydrogen nucleus, however, there are many other nuclei
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funded under a European Research Council (ERC) advanced grant LUMIN (Illuminating charge transport in feldspar to measure rates of Earth surface processes). We are looking for a self-driven and innovative
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The Department of Mathematics and Computer Science at the University of Southern Denmark (Odense Campus) is offering two PhD scholarships in mathematics and computer science education, focusing
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Two funded PhD positions at SDU Physics - Interdisciplinary research projects within experimental...
for projects in experimental soft matter and biological physics in the area of active liquid crystals. Starting date: Latest 1 September 2025 Application deadline: 15 April 2025 at 23:59 hours local
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DTU Tenure Track Researcher in X-Ray Nano-Computed Tomography for Dynamic Processes in Geological...
), on the development of in-situ nano-computed tomography (nano-CT). The expected start date is May 2025, and the position will be hosted within the 3D Imaging Center ( 3DIM ). The position aims to develop
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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student within the field
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possible thereafter. The position is a full-term position for 12 months. The Department of Biomedicine prioritises diversity and a good work environment, as this is a prerequisite for groundbreaking research
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possible thereafter. The position is a full-term position for 12 months. The Department of Biomedicine prioritises diversity and a good work environment, as this is a prerequisite for groundbreaking research
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phenomena. Developing novel detection methods and innovative light sources. Developing state-of-the-art simulation methods for hybrid light-matter systems. Responsibilities and qualifications As a PhD student
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omics investigations to understand the molecular basis of aging and age-associated phenotypes. Lab generated data is routinely analyzed through AI-assisted pipelines such as novel cellular senescence