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PhD with an interest in computational social science or data science (broadly defined). This individual will help design, execute, and analyze a series of field experiments on a platform created by the
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well as secondary data wrangling and analyses on large, cross-national datasets from dozens of countries across 4 waves on adolescent identity, school experiences, and social outcomes. This role will also entail
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of atomic environments Detection of extrapolation and low-reference data regimes Active learning in configurational and chemical space Training and benchmarking of large-scale foundational MLFF models More
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The Department of Medical Biosciences is offering a postdoctoral scholarship within the project “Developing computational tools for large-scale human intracellular signaling models”. The scholarship
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, and contributing to a robust data infrastructure that makes large-scale, multimodal datasets FAIR and AI-ready. You will publish findings in high-impact journals, present at major international
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the Rosaceae, Citrus, Vaccinium and Pulse crop databases to meet community demand for resources with usable big data aggregated, analyzed, integrated, and visualized, as well as data management and analysis
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or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular biology. Languages skills: fluent command of English; knowledge of another
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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utilisation following urgent suspected cancer referral. They will contribute to a Bowel Cancer UK funded project, using large healthcare datasets, such as CPRD, to help inform initiatives aimed at prevention
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Science Lab is seeking a highly-motivated postdoctoral scholar to lead a large-scale, community-based, clinical trial of behavioral treatment for childhood obesity. The Solutions Science Lab designs