925 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Nature Careers
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Department of Mathematical Modeling and Machine Learning (DM3L) Assistant Professorship tenure track for Mathematics for Responsible AI 100-100% We are seeking candidates in the field of Mathematics
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. Applications are invited for Principal Investigator (PI) at Center for Life Sciences (http://www.cls.edu.cn/english/ ). As a pilot program of the National Plan for Education Development and Reform, Center
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see: http://ecos.au.dk/en/ . What we offer The department offers: A multi-disciplinary research environment collaboration within strong research teams with extensive experience in carbon flux research
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in the jobs section of the IRBLleida website (https://www.irblleida.org/en/jobs/) before the 31st of January 2026. To formalize their application, candidates must submit the following: Candidate’s CV
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and inclusive community in the practice and teaching of science. Successful candidates will be expected to establish a vibrant research program, teach graduate and undergraduate courses, and participate
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hypotheses. Develop, refine, and benchmark computational pipelines using statistical modeling, machine learning, and deep learning approaches. Conduct analytical validation studies including precision
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for experimentation, yet they remain difficult to deploy directly onboard robots due to hardware availability, latency, sampling cost, and noise. Previous work on quantum machine learning (QML) emphasize
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to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together
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, including approaches that produce “black box” data that might only be actionable in conjunction with AI and machine learning methods. Experimental technologies could cover (but are not limited to) single-cell
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with experts to automate diagnostic assays, leading to cost-effective, easy to use tests Work closely with AMR, Informatic and Machine Learning colleagues ensure the tests provide accurate pathogen ID