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from in vivo Raman spectra • Applying chemometrics methods to machine learning models • Simulations and modification of data • Carrying out Raman measurements in vitro and in vivo • Development
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to machine learning models • Simulations and modification of data • Carrying out Raman measurements in vitro and in vivo • Development of protocols for biocompatibility and strict compliance with regulations
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with applications to aerodynamic and mechanical databases. - POD, DMD, sPOD, hoDMD, auto-encoders and other machine learning techniques will be used. - Software development. - Writing of technical
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on Machine Learning (ML), with particular focus in PINNS, and applications to aircraft design. - Software development. - Writing of technical reports and/or scientific papers. Requirements Research
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Aviation). Qualifications: Hold a PhD with demonstrated experience in aeroelasticity, MDO, aircraft design, and Machine Learning. Deal independently and proactively with scientific and engineering challenges
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, it is essential to have effective multimedia security and cybersecurity measures. Responsibilities: In this role, you will combine research on watermarks and machine learning to develop novel
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research in Computer Vision and Machine Learning and the potential applications to Biometrics, Explainability, Security, and Media Forensics (among others)? If so, we have the perfect opportunity for you! We
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). Objective: The aim of the work is the analysis and development of machine learning methods that allow the collection of information available on different public websites, related to different variables
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seeking candidates with a PhD degree and expertise in an area pertinent to the project and experience in: Machine/deep learning algorithms Biomedical informatics Computer Science Expertise
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Programme? European Union / Next Generation EU Reference Number CEX2021-001202-M Is the Job related to staff position within a Research Infrastructure? No Offer Description Develop and train machine learning