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and colleagues located across the 4 nations of the UK. HDR UK’s mission is to unite the UK’s health data to enable discoveries that improve people’s lives. Its 20-year vision is for large-scale data and
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statistical methods to large-scale medical datasets (EHR, imaging, genomics, clinical trials). Design algorithms and predictive models to advance diagnostics, medical devices, healthcare access, and
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would be happy to discuss PhD projects related to these aims, as there is some flexibility in research directions. Characterise behaviourally-relevant visual and semantic dimensions by the use of large
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2 Mar 2026 Job Information Organisation/Company Ecole Centrale de Lyon Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 31
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interactions on a microscopic scale. Our main motivation is to explore the interface between quantum physics and gravity with new experimental platforms. Your future tasks: You will actively participate in
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, genetics, or a related life sciences discipline. Demonstrate hands-on experience with large-scale multi-omics data analysis; proficiency in Python and R programming is highly valued. Travel regularly
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planetary systems. The project will investigate Probabilistic Numerical Computation for large scale Inverse Problems, with a particular focus on cases governed by Partial Differential Equations (PDEs). Recent
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
epigenomic assays, enabling efficient processing of large-scale multi-omics datasets, and apply them to decipher human diseases. • Translational Discovery: Integrate computational findings with clinical and
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Agreements for Dutch Universities (CAO-NU) (scale P). This is based on a full-time working week of 38 hours. We offer a temporary contract for 18 months which will be extended for the duration of the project
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large-scale experimental datasets. What to expect: Tackle fundamental challenges in sampling and optimization, such as automating the discovery of transition pathways in high-dimensional potential energy