7,157 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions in United Kingdom
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under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa. As a valued member of
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the Technician Commitment key themes, https://www.gla.ac.uk/myglasgow/staff/technicians/ 12. Be aware and comply with Equality and Diversity policies of the University of Glasgow. This is not an exhaustive list
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be subject to PVG Scheme membership. Further information is available at: https://www.mygov.scot/pvg-scheme/ Please note that under Section 34(1) of the Protection of Vulnerable Groups (Scotland) Act
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be found here: https://www.postgraduate.study.cam.ac.uk/courses/directory/blpapdpth More about the project: Project Title:Dissecting the body-wide spatio-temporal organisation of human resident T
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behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
revealed distinct gene expression profiles of the infiltrative margin of glioblastoma via bulk transcriptomics https://pubmed.ncbi.nlm.nih.gov/37434262/ predicated on biopsies obtained via 5-aminolevulinic
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, computer simulations and machine-learning analyses. The University of Nottingham offers a wide range of employee benefits. More information can be found at: https://www.nottingham.ac.uk/hr/your-benefits/a-z
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leave, plus 9 buildings closed days (and Christmas Eve when it falls on a weekday) for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm
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funding. References 1. Small-scale reconstruction in three-dimensional Kolmogorov flows using four-dimensional variational data assimilation (https://www.cambridge.org/core/journals/journal-of-fluid
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at University of Cambridge. There will be ample opportunity to learn new techniques and refine existing ones. The ideal candidate should have a PhD in a relevant subject (or due to complete a PhD within 6 months