53 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Nature Careers in United Kingdom
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of Molecular Biology (LMB), within a programme aimed at studying the neural circuit basis of behaviour. Specifically, to map the synaptic wiring diagram, or connectome, of whole brains, using machine learning
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of this post and to complete an online application, visit https://mrc.tal.net/vx/lang-en-GB/appcentre-1/candidate/postings/3132 andupload your up-to-date CV, including past scientific accomplishments and esteem
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. We are also committed to providing training and development opportunities including support towards role-related qualifications. Further information about the benefits available can be found at http
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, neurodivergence, or a chronic condition, please contact us so we can make all necessary accommodations. Learn more about our DEI work here: https://group.springernature.com/gp/group/taking-responsibility/diversity
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training and development opportunities including support towards role-related qualifications. Further information about the benefits available can be found at http://www.discover.ukri.org/benefits-of-working
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Cytometry Core Facility lies at the heart of our cellular analysis. We are looking for a motivated Senior Scientific Officer (SSO) to join our technical team. In this role, you aren’t just "running a machine
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available can be found at http://www.discover.ukri.org/benefits-of-working-at-ukri. The LMB is a world-class research institute within UK Research and Innovation (UKRI). UKRI is nine research councils
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development opportunities including support towards role-related qualifications. Further information about the benefits available can be found at http://www.discover.ukri.org/benefits-of-working-at-ukri
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researchers with access to state-of-the-art technology and expertise. We provide an excellent learning environment with dedicated education programmes in public engagement with science, education and personal
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of results. Highly motivated and have good communication, project management and organisational skills. Willing to learn new skills and techniques. Desirable Experience in proteomics and cancer models would be