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for applications for one research grant within the framework of project ISA4RL - Integrating Instance Space Analysis with Auto-Reinforcement Learning for Adaptive Algorithm Selection and Configuration
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Engineering or Industrial Engineering and Management) - 10 points; Others Masters – 2 points) b) Experience in applying machine learning algorithms, data preparation, normalization, feature selection, and
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–5): selection of relevant climatic variables and application of statistical modelling and/or machine learning techniques to predict risk. 3) Preliminary validation of the predictive model using
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studying as an international student at the University of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide FAQ Contact us
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International students Find support, advice and what to expect living and studying as an international student at the University of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide
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requirements: Experience using deep-learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating on scientific projects. Publications on deep-learning topics. 4. Work Plan
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be duly proven at the time of hiring. 2; 3. Preferred requirements: Experience using Machine Learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating
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machine-learning methods for sample segmentation and classification. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: The fellow will join the INESC TEC team within the LIBScan project, carrying
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. Research at Melbourne International students Find support, advice and what to expect living and studying as an international student at the University of Melbourne. Learn more How can we help? Find a
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university. Research at Melbourne International students Find support, advice and what to expect living and studying as an international student at the University of Melbourne. Learn more How can we help? Find