917 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Nature Careers
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after receiving the doctoral degree. 4. have outstanding teaching abilities—the applicant should be able to teach core and frontline courses in the corresponding disciplines, and have sound teaching
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dynamics, kinematics, acoustics/vibrations, fluid–structure interaction, control, or other mechanics-driven domains. Experience with applied computational methods and machine-learning–based modeling
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join a structured doctoral programme offering first-class supervision, vibrant research networks, and opportunities to publish, teach, and engage internationally.Candidates can select from a cross
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at https://aprecruit.ucsf.edu/JPF05918 , with a cover letter, CV, Statement of Research, Statement of Teaching, and the names, titles, and e-mail addresses of three to six references who we may contact
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application instructions) and to submit your application online, please visit: https://www.mpg.de/lise-meitner-excellence-program The deadline for applications is April 15, 2026. If you are invited to present
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will begin on February 28, 2026 and will continue until the position(s) is filled. To apply, follow this link: https://apply.interfolio.com/180398 . If you have any questions, please email the NYU
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is focused on understanding the mechanisms of cardiovascular development, disease, and regeneration. For more details, please visit our lab website: https://www.nationwidechildrens.org/research/areas
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possible How to apply? Please complete the online application procedure (https://jobs.vib.be/apply/131864 ) and include: a detailed CV, including concrete experience a motivation letter describing your
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, networks and communication systems, theory of computation, computing paradigms, AI and machine learning, numerical computing, and applied computing. In particular, beyond surveying individual fields and
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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