365 machine-learning "https:" "https:" "https:" "https:" "The Open University" Postdoctoral research jobs in United Kingdom
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and learning adaptation to uncertainty. You will use fMRI and neurostimulatory techniques (ultrasound neurostimulation and/or transcranial magnetic stimulation) to test the causal role of targeted
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will contribute to the development of a new simulation-based pre-training framework for building more robust and trustworthy machine learning-based clinical prediction models. Funded by the Medical
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microbiology, and machine learning, you will identify AMR genes, pathogens of public health concern (including ESKAPE and WHO-priority organisms), and reconstruct metagenome-assembled genomes (MAGs). Across five
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in this collaborative project, with opportunities to travel to the USA; have access to state-of-the-art experimental capabilities; and have significant autonomy and opportunities for learning. We
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Location: Kavli Institute for Nanoscience Discovery Contract type: 1 year Fixed-term (with the possibility of an extension) We are seeking a Postdoctoral Research Assistant for the Gene Machines
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We are seeking a Postdoctoral Research Assistant for the Gene Machines’ group, led by Prof Achilles Kapanidis. The group is well known for developing single-molecule and single-cell fluorescence
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and trustworthy machine learning-based clinical prediction models. Funded by the Medical Research Council (MRC) and the National Institute for Health and Care Research (NIHR), the project aims
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deadlines and tight time scales. Enjoys responsibility and solving unexpected problems with commitment to continuous improvement. For further information about this position and to apply, visit http
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cell culture and advanced imaging techniques. More information on our work can be found at https://research.aston.ac.uk/en/persons/roslyn-bill ", https://www.youtube.com/watch?v=1oaeit5XxJQ " and https
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classification algorithms including machine learning); and the output data and interpretability. The project “SORS in the community” is funded by the EPSRC (https://www.ukri.org/news/new-tools-aim-to-improve-early