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meta-epidemiological study to investigate the impact of placebo blinding in randomised trials of respiratory infections in primary care. The postholder will identify eligible studies and assist with data
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
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hyperparameter optimization, meta-learning, and adversarial training. The general bilevel problem can be written as: min F (x, y∗(x)) where y∗(x) = arg min f (x, y), d
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://www.nature.com/articles/s42256-021-00368-1) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4). The research is computational in nature but
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://www.nature.com/articles/s42256-021-00368-1 ) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4 ). The research is computational in nature but
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of Medicine. This is a limited time position to complete a systematic review. You will have a PhD or equivalent professional qualification in Human Nutrition or a related discipline and experience of conducting
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Two postdoc positions on the ecology and physiology of microbial key players exposed to oxygen de...
and energetic constrains ammonia-oxidizing and methane-oxidizing microbes exhibit under oxygen depletion (and while producing oxygen) including single cell activity assays. Applicants should have a PhD
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of aligned experience, with the last 2-3 three years in the AI/ML arena, is required for consideration An overall combination of equivalent experience may be considered. Masters and PhD degree holders in
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research projects. Develop and implement AI models for evidence synthesis. Assist grant writing to secure research funding. Mentor students and collaborate with international experts. Job Requirements: A PhD
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-00368-1 ) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4 ). The research is computational in nature but involves close