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extensive knowledge on zooplankton imaging techniques ability to program and train machine learning models for automated image classification experience with shipborne campaigns and ready to join multi-week
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, postdocs, students, and collaborators. Support postdoctoral lifecycle activities, including onboarding coordination and administrative updates. Assist with planning and executing the division's weekly
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also will participate in weekly seminars with other Active Learning Initiative postdocs, receiving training and support in designing and implementing research-based teaching strategies. The Postdoctoral
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separation on commercial recordings and extracting audio features (onsets, pitch, harmony, dynamics); curating datasets; and integrating machine learning approaches to complement rule-based methods. For more
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systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning
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structure and quantum chromodynamics, 2) Experience in the use of machine learning and high-performance numerical computations, 3) Readiness to teach courses in physics and computer science in English
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perform experiments using an array of state-of-the-art techniques from systems neuroscience, genetics, and physiology. More information about this lab can be found on his website https://knightlab.ucsf.edu
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, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines Language requirements English C1 or equivalent Application deadline January, please see website for exact
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Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the
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cybersecurity expertise with modern AI techniques such as machine learning, deep learning, or large language models? Then we strongly encourage you to apply. You will join an established team with 25+ members