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lead the development and application of advanced microscopy techniques, microfluidic approaches, and single-cell analysis methods to investigate quiescence at individual cell and population levels. Where
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Evolution in Response to Human Influence” funded by the Helsinki Institute of Life Sciences (HiLIFE). The project aims to establish a scientific foundation for investigating viable ancient bacteria recovered
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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engineering, or closely related fields Excellent skills in development of complex optical systems Experience in optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python
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for 12 months and is available from 1st October 2026. The successful candidate will be based in the School of Mathematics and Statistics at the Open University campus in Milton Keynes. https
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involved in the Trusted Autonomous and Self-Adaptive Systems for Defence (SAACD) project. This project aims to overhaul the engineering and development of this type of complex system. A SAACD can be defined
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research, development and validation of new technologies for the Einstein Telescope. Based on a full interferometer configuration ETpathfinder aims to perform length measurements at the level of a
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modelling. MISSION You will actively contribute to the development and evaluation of new hybrid computational method to predict biological tissue deformation with subject-specific material properties
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Website https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=6c12ed825… Requirements Research FieldPsychological sciences » PsychologyEducation LevelPhD or equivalent Skills/Qualifications
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suitable evolutionary models Development and implementation of novel phylogenetic approaches, including those implementing protein structural information. Where to apply Website https