352 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at Nature Careers
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should hold a Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, Data Science, or a closely related field Solid background in machine learning and natural
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of Unix systems (GNU Linux) and keen to gain hands-on experience in Networks and systems Machine Learning knowledge is a plus Strong analytical and programming skills are required (Python, Matlab, Golang
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University of Connecticut Health Department of Regenerative Medicine and Skeletal Development 263 Farmington Avenue Farmington, CT 06030-3705 Tel: 860-679-2062 email: reichenberger@uchc.edu visit us at: https
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or similar. Experience in handling dynamic modelling and control, experimental setup and testing, Digital Twin and Machine Learning Publication experience Collaboration and/or management skills Communication
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Medicine (https://www.irem.uzh.ch/en.html) combines cutting-edge stem cell and bioengineering research to advance regenerative therapies. Based on bio-inspired principles and novel biomimetic technologies
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academiaOpportunities to work on innovative projects and network globally More information is available at: https://marie-sklodowska-curie-actions.ec.europa.eu/calls/msca-postdoctoral-fellowships-2026 Your role Your
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environments will provide the successful candidate with opportunities to learn from a large network of talented professionals. Prof. Mariam Jamal-Hanjani is Principal Investigator of the TRACERx study at UCL
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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
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, building upon our recent work published in Nature (https://www.nature.com/articles/s41586-025-09889-w ). Your Responsibilities As part of the role, you will be required to operate and maintain state
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of the Medical University of Vienna. With around 6,500 employees and 8,600 students, the Medical University of Vienna is one of the largest biomedical research and teaching institutions in Europe (https