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Field
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learning and artificial intelligence techniques will be the cornerstones to reach these objectives. The research activities will be both experimental and numerical. The successful candidate will join the
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intense search is performed to find a correct solution of what is measured. By combining state-of-the-art laser ultrasonic imaging techniques with advanced artificial intelligence, the aim of this project
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/Qualifications Recipients profile/category: Candidates must have a master’s degree in Bioengineering, Biotechnology or related areas. Proven experience in hybrid modeling Artificial Intelligence/Physical laws
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to the to the theme of the project. The assessment relating the relevance of the Degree to the required professional experience is entrusted to the Examining Commission. At least three years of experience in Artificial
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details and apply Overview About the Role This research post will be for a fixed-term duration of 3.5 years. The postholder will develop multi-modal artificial intelligence (AI) tools using cardiovascular
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. Based in the College of Computing, the ideal candidate will have strong skills and expertise in applying core data science and artificial intelligence concepts and tools to solve complex problems
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deep learning to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational
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, PhD and Carlos López, PhD, the PO&B team is an interdisciplinary group that includes pathologists, oncologists, hematologists, biologists, biotechnologists and computer specialists, with strategic
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, orthogonal waveforms, multiple access, and channel estimation; Numerical Simulation Environments: Matlab and Mathematica; Programming Languages: Python, C++, and C; Intelligent Artificial Optimization
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of study. For this interdisciplinary project, we are looking for multiple types of skills/experience, including: (1) artificial intelligence, machine learning, data science and/or computational methods; (2) domain expertise in