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months to two years, or per longer period. 1. OBJECTIVES | FUNCTIONS Development of techniques aimed at enhancing the efficiency of complex ML pipelines, with emphasis on methods aimed at predicting
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. Candidates shall be ordered by applying the successive voting method. The jury has the faculty to not approve a candidate who is not considered on absolute merit. Candidates with an average score below 70
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) and all formalities established therein must be fulfilled, by the selected candidate, until the date of signature of the contract. General call admission requirements The general admission requirements
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systems where the candidate played an active role together with familiarity with deep learning methods. EVALUATION CRITERIA The selection will be based on the following criteria: CV: 50% Experience in
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learning methods to digital pathology Development of deep learning algorithms for the computational analysis of whole-slide images. The objective is to identify relevant biological features and to perform
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accelerators, and of applications exhibiting these patterns in performance-critical hotspots; Development of methods to streamline programming AI-enhanced systems, taking into account partitioning / mapping and