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developing solutions for locating and manipulating semi-rigid objects or complex geometry. Investigating machine learning strategies with limited data, including the generation of synthetic data in simulation
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points); b) Publications in the area of artificial intelligence, machine learning, computational simulation and multi-agent systems (maximum 5 points); c) Research experience in the project area (maximum
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that are only partially met by the development of special purpose classical computing units. This has motivated a recent interest in using quantum computing to machine learning tasks, in particular to clustering
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to hire one Senior Technician within the framework of the “ Leveraging Interpretable Machine Learning Approaches to Improve Child Health for All: From Single Diseases to Multimorbidity ” project, reference
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state-of-the-art behavioural tracking, electrophysiological recordings, and probabilistic machine learning methods. • Characterise social and behavioural phenotypes in a clinically relevant mouse model
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Requirements: Demonstrated prior research experience in the scientific area of the position. Skills in programming, data analysis, machine learning and involvement in R&D projects will be valued. 5. Eligibility
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for more than 2 years. The selected candidate will perform tasks in the field of Computer Science, Machine Learning and Project Management. The tasks will include, but are not limited to: 1) Development
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metal dichalcogenides are promising platforms for next-generation quantum and electronic devices, where atomic defects play a crucial role in determining functionality. This project develops a machine
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of this Notice in the Official Gazette (Diário da República), in the subject area of Computer Science, with an emphasis on the areas of Computer Systems Organization, Networks and Security and Privacy, according
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Engineering, Informatics Engeneering and related fields Skills/ Qualifications Have experience as a Data Scientist, such as developing Machine Learning and AI-related solutions to predict patterns in