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Field
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acquire advanced expertise in navigation models, spatial representation, object representation, and relational knowledge representation, as well as in planning algorithms based on probabilistic models and
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a minimum course entry score of 80% Selection criteria Eligible candidates will be ranked based on: Academic merit Level of disadvantage based on financial need Study level: Graduate coursework
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Teaching Have completed a bachelor or honours degree in a discipline other than education. Selection criteria The scholarship is offered to the student(s) ranked highest by the selection panel based
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of Professional Psychology (or their successors). Selection criteria The bursary is offered to the student(s) ranked highest based on their financial assessment score. Conditions This bursary cannot be
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by the selection panel based on their personal statement and the Weighted Average Mark (WAM) for their current master degree: One scholarship is offered to students enrolled in the Master of Mechanical
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? Yes Offer Description A call is open for the award of 1 Research Grant, within the scope of the project RETAILL - Retail Using Technology Based on Artificial Intelligence, financial support from
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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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. Selection procedure: The curriculum of the candidates (60%) will be evaluated based on the merit of the candidate and the following factors will be weighted: a) Academic training (Master in Mechanical
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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