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Field
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of multimedia datasets (voice, text, etc.). Development of predictive models for cognitive impairment and Parkinson's disease using signal processing and machine learning techniques. Development and debugging
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10 Nov 2025 Job Information Organisation/Company Computer Vision Center Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain
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. SILEX 2025) to calculate the Fire Radiative Power (FRP) and compare with satellite observations (VIIRS, SLSTR, FCI). Develop a fire front segmentation algorithm using machine learning techniques (deep
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remuneration, or a proportional part for periods of less than one year. 2.5. Tasks to be carried out: · Developing advanced tools for the spectral analysis of the X-IFU instrument. · Developing machine learning
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related field. Strong publication record in reputable journals or conferences, or equivalent research experience. Proven expertise in data analysis, statistical modelling, and/or machine learning. Advanced
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computer-based systems and the preparation of data for inclusion in lab books, presentations and publications. Maintain a hardcopy or electronic lab book · Work in compliance with relevant Health and Safety
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) and satellite platforms, and surface energy balance models will be used to obtain evapotranspiration (ET); computer vision and machine learning techniques will also be used to identify and count fruits
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scalable and efficient software and firmware analysis methodologies using tools like Frida or IDA Pro, enhanced with traffic monitoring techniques and Machine Learning to detect and analyze vulnerabilities
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FieldComputer science » OtherEducation LevelPhD or equivalent Skills/Qualifications CANDIDATE ’S PROFILE The candidate should possess a PhD in machine learning or computer vision and have a strong publication
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expertise in data science, machine/deep learning, biomedical informatics, trustworthy AI, and health-related applications. The research group has an established track record in coordination and participation