407 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" research jobs at Nature Careers
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information, please visit our website: https://ekfs.de/en/current-topics/call-for-proposals/else-kroner-excellence-grants-2026
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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analysis or habitat monitoring Highly valued: Experience applying AI or machine learning methods to remote sensing data Experience with drone-based point cloud collection Experience working with or advising
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application documents via email. To obtain an Applicant ID and download the application documents, please refer to the following URL. https://www.nims.go.jp/eng/employment/technical/permanent-researcher.html
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and names and addresses of three referees and be send by e-mail until April 11st 2026 to Prof. Christoph Wilhelm (christoph.wilhelm@uni-bonn.de ). Webpage: https://www.ukbonn.de/en/icccp/research
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of synaptic neural circuit function Molecular, genetic and viral tools For more information about our research, visit our lab website: https://www.med.upenn.edu/fuccillolab/
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cells 4. Roles of retinoic acid and its receptor in regulation of the immune system, focusing on T and DC regulation 5. Immunotherapies and chimeric antigen receptor (CAR) therapies Lab website: https
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website: https://www.med.upenn.edu/apps/faculty/index.php/g275/p20138 Qualifications Applicants should hold a recently awarded PhD or MD degree, or be nearing completion, and demonstrate a strong
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includes the following tasks: Develop computer-aided design software for modular construction of switchable RNA nanostructures. Develop databases for RNA modules for automated building of atomistic models
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to independently design, execute, and troubleshoot experiments Strong computational skills for processing complex cryo-EM datasets Enthusiasm and demonstrated ability to rapidly learn new techniques Prior training