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Ifremer - French Research Institute for Exploitation of the Sea | Plouzane, Bretagne | France | 23 days ago
and biology Good knowledge of machine learning methods (e.g. Bayesian networks or Machine Learning, neural networks) Good modeling and programming skills (e.g. Python, R, Fortran, C++). Proficiency in
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and storage devices. We have a unique opening to expand our efforts in developing our self-driving laboratory (SDL) that combines robotics-based lab automation, machine learning, and high-throughput
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the University of Queensland and CSIRO, supported by the South Australian Water Corporation and the Department for Environment and Water, and managed by the SmartSat CRC. Research objectives: The overall objective
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, probabilistic modelling, machine learning and computational approaches in biodiversity science. The student will be will be supervised by Aelys Humphreys (Stockholm University) and work closely with
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, probabilistic modelling, machine learning and computational approaches in biodiversity science. The student will be will be supervised by Aelys Humphreys (Stockholm University) and work closely with
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modelling, machine learning and computational approaches in biodiversity science. The student will be will be supervised by Aelys Humphreys (Stockholm University) and work closely with an international team