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prediction model; specifically, those models that utilize network analysis and machine learning techniques. The aim of this project is to attempt to evaluate the relative strengths of this new strand
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic
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for autonomous systems; field robotics; ● Cognitive Robotics: explainable artificial intelligence, perception-based interaction, and meta-reasoning to improve team performance; ●Human-Robot Interaction: Human
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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Eisenberg on research projects related to the evolutionary biology of aging, life history theory, intergenerational plasticity and/or meta-science. The candidate will lead and manage day-to-day operations of
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of Machine Learning PhD position Wood Materials Science - DC11:Electrically conductive bio-based materials -within the Marie Skłodowska-Curie Actions –Doctoral Networks (MSCA-DN) RE-Fibre 100%, Zurich, fixed