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associated with the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy - Data-Driven Studies of Membrane Protein Function, Evolution, and Disease. We are searching for a highly
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: www.scilifelab.se/data-driven . Project description The position will be associated with the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy - Data-Driven Studies of Membrane Protein
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of the technology being in action. Machine learning (ML) is an area at the technical core of AI. With the enormous success of deep neural networks (DNN), the research focus of ML has shifted from pursuing high
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group of Assoc. Prof. Kruve and associated with the ERC project ” Machine Learning and Mass Spectrometry for Structural Elucidation of Novel Toxic Chemicals”. The project aims to develop novel machine
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problem-solving mindset. The ambition to conduct research on the interface generative AI and chemictry is essential. Candidates with experience with machine learning are encouraged to apply, while
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staff position within a Research Infrastructure? No Offer Description Do you have expertise in or passion for machine learning and artificial intelligence? Would you like to apply your expertise to impact
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staff position within a Research Infrastructure? No Offer Description Do you have expertise in or passion for machine learning and artificial intelligence? Would you like to apply your expertise to impact
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background in computational hydrological and/or hydro-climate research with a focus on extreme events Programming, hydrological modeling, remote sensing, machine learning and spatial data analysis skills A
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dimensions of materials, geographies or events. Or you can study how AI and machine learning systems impact upon social and climate justice questions. We are seeking projects that will demonstrate how