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Field
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Engineering or related disciplines•High competency in data analysis, numerical modelling, and programming•Strong written and oral communication skills•Relevant background in experimental geotechnics is desired
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24 Oct 2025 Job Information Organisation/Company Leiden University Research Field Mathematics » Applied mathematics Mathematics » Mathematical analysis Physics » Condensed matter properties Physics
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aspects of the project, including analyzing near-Sun observations of CMEs and shocks, running three-dimensional numerical simulations to model the Sun-to-planet evolution of CMEs and their sheath regions
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, including 4 training schools and two workshops. As a participant of the project, the PhD student will become part of a team at DTU with numerical and experimental expertise in photonic computing
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stations for large-scale bioinformatic analysis, a cryo-EM microscope recently installed at the institute, as well as privileged access to state-of-the-art infrastructures: cryo-EM Titan Krios (ESRF
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doctoral candidate who meets the following requirements: A background and strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and
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of machine learning, numerical analysis, optimisation, or related fields. Funding notes: Funding is available through the School of Mathematics for a suitably strong candidate. The scholarship will cover
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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experience in soil organic matter dynamics and stability and/or related to soil fauna Previous experience in statistical analysis of data, preferably in R Previous experience in biomarker extraction and gas
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electro-optic devices, notably the multi-billion dollar liquid crystal display industry. The mathematics of LCs is very rich and cuts across analysis, topology, mechanics, partial differential equations and