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18 Apr 2024 Job Information Organisation/Company INESC TEC Research Field Computer science Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Country Portugal
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TEC. 2. OBJECTIVES: - Enlarge knowledge of digital simulators state-of-the-art for power systems; - Develop the R&D capacity through the application of machine learning methods; - Develop research
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projects within the health technology sector. This encompasses areas such as machine learning, deep learning, data science, medical imaging, and computer-aided diagnosis. The role involves supervising
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) Knowledge and experience with machine learning and frameworks such as : pandas, scikit-learn, flower, tensorflow;; l) Knowledge and experience with Rest APIs.; Funding Entity: Type of contract: Uncertain term
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of the art knowledge in machine learning regarding methods for neural networks complexity reduction ; - Development of methods for the evaluation of biases, fairness, overestimation and related metrics
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the data on sales of various perishable products for a given period; - Develop and test different forecasting techniques using machine learning methodologies; - Evaluate the results of the different
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clinical texts with a main focus on medical ontologies. The selected candidate will join INESC TEC's NLP and Machine Learning team and will have the opportunity to work alongside researchers, master's
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Preference factors: - Over 3 years of experience in ML/DL; ; - Experience in developing machine learning algorithms;; - Deep learning applied to satellite or drone information;; - Implementation of ML/DL
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for the dynamic and efficient allocation of CPUs and GPUs to virtual machines and containers, focusing on specific workloads such as high-performance computing (HPC), machine learning, and data center applications
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Institutions. Preference factors: Experience in scientific research projects and writing of scientific publications. Minimum requirements: Knowledge about Machine Learning. Minimum or equal grade of 15 in