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/Qualifications PhD in Computer Science or related field (with preferred specialization in Machine Learning/Deep Learning); Documented experience in Machine learning and Deep neural network model design and
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associated with different health related traits. The candidate will also apply machine learning methods to generate predictive models for these different health conditions to be applied for stratification in
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the quality of reconstructed physics objects towards a 4D global event reconstruction. The work will include the usage of Machine Learning techniques to boost the performance gain and will focus on one
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computing, HPC infrastructures, and machine learning. Hicrest Laboratory combines expertise in parallel algorithms and high-performance computing with reliable computing systems by combining a hardware
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1 Mar 2024 Job Information Organisation/Company Sapienza University of Rome Research Field Computer science » Computer architecture Researcher Profile Recognised Researcher (R2) First Stage
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marker-less motion capture • Knowledge of machine learning methods • Good communication skills • Strong problem solving attitude • High motivation to learn • Spirit of innovation and
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responsible for conducting high-quality research in various areas of artificial intelligence, including machine learning, deep learning, natural language processing and computer vision. They will be expected
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, Machine Learning and Deep Learning; skills in signal and image processing Soft skills: proactivity and resourcefulness combined with interest in interdisciplinary innovation topics; orientation towards
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the definition of learning cost curves. Collaborate and coordinate activities on Tecno Economics Assessment Participate and collaborate with the engineering team to validate cost and technical model. Gathering
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the integrated multi-level survey of pilot municipalities as a “training set”, Machine Learning based techniques will be adopted to expand the inventory at the national level. The updated exposure model could be