412 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral positions in United Kingdom
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interdisciplinary team (including experts in machine-learning and microbiology) to establish microfluidics-enabled microscopy assays on single bacterial cells to determine their antibiotic resistance. Your work will
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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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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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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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at https://jmhutson.webspace.durham.ac.uk and a description of recent research achievements and current projects is available in a link from there. The successful applicants will work to understand
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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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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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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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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