938 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Nature Careers
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science, and educators 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
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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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at: https://www.mathjobs.org/jobs/list/26129 · Physics: Theoretical physics; quantum physics and information; statistical physics and complex systems; condensed matter physics; biological and chemical physics
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postdoctoral research track record and are expected to build and lead a group to pursue a high-quality research programme. Current research interests within the Division of Condensed Matter Theory (https
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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-class research institute within
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knowledge transfer. Discipline, including, but not limited to: Electronic and Information Engineering, Computer and Data Engineering, Electronic and Electrical Engineering, Information Engineering
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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tools like ViennaRNA and NUPACK) and MD simulations (e.g., with GROMACS). Strong skills in statistical data analysis and machine learning in Python and R are expected, along with experience working in
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The Department of Physiology at the University of Tennessee Health Science Center (UTHSC) (https://www.uthsc.edu/physiology/ ) invites applications and nominations for a tenure-track Associate
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2026. The interested individuals are expected to fill in the following form: https://form.jotform.com/260435174909360 . They will be able to upload the requested documentation directly on the form (as