1,357 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at Nature Careers
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are seeking a candidate for a vacant position as Tenure Track assistant professor in AI and machine learning to develop a novel research area within the use of agentic AI models for improved analyses of whole
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science. Teach relevant courses, supervise BSc, MSc and PhD students, and mentor postdocs and tenure track assistant Professors. Contribute to the strategic development of the department’s research and
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for recruited talents. Meet the requirements of relevant documents of the National Postdoctoral Management Committee, as detailed in http://www.chinapostdoctor.org.cn; Should have outstanding scientific research
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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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. https://www.stjude.org/research/labs/hatley-lab.html @HatleyLab Minimum Experience: The ideal candidate should have just received their PhD or have less than one year of postdoctoral research. Experience
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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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of Geography and Spatial Planning (https://dgeo.uni.lu ), joining the Economic Geography team of Prof. Christian Schulz. The position contributes to the INTERREG-NWE funded AccessHubs project, which examines
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area can be found on the UTMB Living Website: http://www.utmb.edu/utmbliving/ Interested Candidates please send a Cover Letter and current Curriculum Vitae (CV) to Skott Harrington - saharrin@utmb.edu
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(UCT), the LOEWE Research Focus CARISMa (for the optimization of CAR T cell therapies), and the Frankfurt Cancer Institute (FCI). Prerequisites for appointment include a completed university degree in
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink