915 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" uni jobs at Nature Careers
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team member in the CBSC focused on ligand discovery, joining a team of dedicated computational researchers with diverse expertise ranging from structural bioinformatics to machine learning and AI. Your
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Research Institute at VTC (FBRI - https://fbri.vtc.vt.edu/ ) for a tenured or tenure-track faculty position at the associate or full professor level. The PRC initiative has received substantial funding
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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. The LMB is a world
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to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more information, please visit
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Wang and Yue Zhao. The department is expanding its effort in this area by hiring new faculty in theory and experiment. Further information about the Department can be found at https
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be found at https://physics.hkust.edu.hk/ . Starting salary will be highly competitive and commensurate with qualifications and experience. Fringe benefits including medical and dental benefits, annual
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Design and use of data spaces and digital twins for materials and autonomous material laboratories Use of deep learning methods to connect theory, simulation, and experiments Integration of high throughput
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Nature Careers | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 1 day ago
PeopleAdmin by April 19, 2026: https://dal.peopleadmin.ca/postings/20553/ Any general inquiries regarding this posting may be directed to reschairs@dal.ca . Championing equity, diversity, inclusion, and
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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to investigate the uterine endometrium and maternal-fetal interface, with the goal of improving female and fetal health. More information about the lab and their work can be found by visiting https