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Field
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manufacturing approaches, investigating melt behaviour, densification, defect formation, and microstructure in materials. A distinctive element of the project is its data-driven approach. Together with colleagues
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Are you passionate about human movement and developing clinical tools for understanding human movement disorders? Job description Challenge: Over a quarter of a million people in the
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Density Functional Theory (DFT) calculations to model hydrogen-tramp element co-segregation at grain boundaries and phase boundaries Perform DFT to obtain atomistic insights into how tramp elements interact
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Can AI learn to reason like a human - and recognise when it isn’t sure? This PhD tackles that challenge in a high-impact setting: interpreting 3D digital models of rock formations built from drone
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of the project will be presented at scientific conferences and seminars and published in international peer-reviewed journals. The project also includes a public science communication component, notably through
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design. The project will have a strong empirical component. The PhD student will work with behavioural data, immersive experimental environments, and human-centric sensing technologies such as eye-tracking
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Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR
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the analysis of large-scale genomic data and in particular the spatial and molecular organization of the human URL. His team is entirely computational and aims at decoding the cellular hierarchies and
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Biology, Molecular Biology, a related field or MD in human Medicine Interest in CRISPR-based genetic screens and gene editing Enthusiasm for working with organoid models (or willingness to learn) Some lab
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of newborn screening and the first gene therapies, affected children can increasingly be identified and treated before symptom onset. However, minimally invasive biomarkers are still needed to support early