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PhD Opportunity: Multi-Omic Integration for Precision Oncology; Transform cancer care through genomics, data science, and translational biology. Swansea University are pleased to offer a fully
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world-class laboratory facilities in the CfAM engaging with interdisciplinary team with expertise in 3D printing, soft robotics, and materials science. Project description: 3D-printing of soft robotics is
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This PhD programme of work, supported by HTC Health LTD in collaboration with Manchester Metropolitan University, aims to explore the multi-organ communication pathways of the gut, specifically
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where 40 researchers from 9 nations works interdisciplinary in the fields of computational materials science, theoretical and computational chemistry/physics and physics of low-dimensional materials. It
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and Science, Department of Chemistry and Bioscience, a Ph.D. stipend is available within the general study program. The Ph.D. stipend is open for appointment from 01.10.2025 or as soon as possible
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Description Gen-Q is a doctoral training programme set up by Eucor – The European Campus EGTC. It provides 13 doctoral positions with an international, interdisciplinary and intersectoral focus
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
of Munich (TUM), Campus Heilbronn. We are looking for exceptional candidates who are interested in pursuing a PhD in either theoretical computer science or graph and network visualization. We seek PhD
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in radiation–matter interactions, computational modelling, and materials science, with a strong publication record (h-index 36, i10-index 69). Dr Francesco Fanicchia, Research Area Lead: Material
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nanoparticles and reactions at the atomic-level by combining path-breaking advances in electron microscopy, microfabricated nanoreactors, nanoparticle synthesis and computational modelling. The radical new