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taken a prominent role in international collaborations such as CETAF, DiSSCo, GBIF, FishBase, and CBOL. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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Associate Professor Aksel Sundström and funded by an ERC Starting Grant. General information about the project is available at http://www.akselsundstrom.com/research and https://www.gu.se/en/news/erc-grant
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/research and https://www.gu.se/en/news/erc-grant-for-research-into-extreme-weather-and-gender-equality-in-african-politics . The Fem-LEAD project seeks to understand the connections between natural
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Areas: Theoretical Physics / Statistical physics Machine Learning Computational Science and Engineering / AI/ Machine Learning , Artificial Intelligence , Data Sciences , Machine Learning Complex