263 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" Postdoctoral research jobs at Nature Careers
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
on “Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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(http://www.hogberglab.net/ ). You will contribute to the Dura-store project that is a part of the European Innovation Council’s Pathfinder Challenge for DNA-based digital data storage, aiming to use bio
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T cell biology or cancer immunology, and programming skills (R, Python) for data analysis. Please also read recent manuscripts published in the last two years 2024 Nature: (https://www.nature.com
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The Max Planck Institute for the Physics of Complex Systems in Dresden announces the opening of one or several Postdoctoral Positions in Condensed Matter and Quantum Information Theory The areas
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University is committed to fostering gender equality in research and encourages women to apply. Scientists at risk are encouraged to apply. How to Apply Application website: https://cuni.cz/UKEN-2187.html
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publication record in immunology/epigenetics. Information on our postdoctoral training program, benefits, and a virtual tour can be found at http://www.utsouthwestern.edu/postdocs . Please also read recent
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computational approaches for high-dimensional data analysis. https://www.epelmanlab.com/ http://www.uhnresearch.ca/researcher/slava-epelman @EpelmanLab This role has direct mentorship and guidance in grant
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Full time, 3-year fixed term position, located on the Camperdown Campus at the School of Life and Environmental Sciences (SOLES) A rare opportunity to combine multimodal data analysis with hands
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website at https://anth.la.psu.edu/ for more information about Penn State's Department of Anthropology. Review of applications will begin immediately and continue until the position is filled. BACKGROUND
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unified data framework for microbial carbon dioxide conversion, integrating data from methanogens, acetogens, and hybrid projects for standardization, kinetic/thermodynamic measurements, and predictive