350 information-security-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Sheffield
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neutrino physics—using a combination of CMB and large-scale structure data. The analysis will rely on modified Boltzmann codes (e.g. CAMB or CLASS) and Monte Carlo techniques for parameter inference
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Molecular Biology experimental techniques, such as PCR and molecular cloning and experience with analysing data from high-throughput sequencing experiments, including analytic pipelines, and the development
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manufacturing, laser processing, or materials characterisation If English is not your first language, you may be required to provide evidence of English language proficiency (e.g. IELTS or TOEFL), in accordance
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on AI / machine learning approaches, data integration, and evaluation protocols, ensuring alignment with OMAIB’s open research principles and deployment-centric focus. Contribute to the creation, curation
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, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable
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Overview The University of Sheffield is seeking a motivated research assistant to join the FORGE project (Forest Governance through AI-enabled Evaluation of Species Mapping in the Peruvian Amazon
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colleagues and transform complex information into actionable insights that drive strategic business decisions. If you’re a proactive problem-solver, who values curiosity and a collaborative approach to move
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at study sites and undertake quality control responsibilities related to studies, including site monitoring. Experience of using a range of research methods is desirable. A postgraduate qualification (or
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property. Capturing the photons enables the spin-based sensor to function as an extremely sensitive monitor of its immediate environment, as information can now exit the environment, free from
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. Histological grading is subjective, poorly reproducible, and often fails to identify which lesions will transform. As a result, many low-risk patients undergo unnecessary surveillance whilst biologically