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analysis, computer vision, or machine learning, with a clear interest in developing image analysis algorithms and an affinity with medical topics. Good communication and organizational skills are essential
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of research staff to cover contractual positions assigned to research projects, available at the following website address: https://s.ua.es/es/nlJx , approved by the Governing Council of 22 December 2009 (BOUA
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environment. • Support for the preparation and processing of technical information from ship models for its use in intelligent algorithms for route generation and validation. • Support for the development
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Mission: Develop a monitoring and control system for an ammonia dehydrogenation plant. Functions to be developed: Perform plant modeling. Design an optimal control system. Design estimation algorithms
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Description The main tasks to be carried out by the selected candidate will be the following: ● Develop new methods for the uncertainty quantification of non-linear statistical models using the 'online
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https://www.bcbl.eu/en/join-us/otm-r Training opportunities and Career development plan: Opportunity to develop professionally in a multicultural, young and dynamic environment. The necessary technical
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-generation observatories such as the Einstein Telescope and the LISA mission. Research duties will involve scientific programming, high-performance computing (HPC), algorithm development and analysing data
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. Main tasks and responsibilities: Development and validation of machine learning algorithms for health-related experimental data. Improvement of data analysis workflows for metabolomics, chemical sensing
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to the logistics digital twin. Develop AI algorithms for anomaly detection, delay prediction and internal logistics optimization. Integrate IoT sensors at key points of the logistics and production processes
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to the logistics digital twin. Develop AI algorithms for anomaly detection, delay prediction and internal logistics optimization. Integrate IoT sensors at key points of the logistics and production processes