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Requirements Experience in research projects, including data collection and analysis. Experience with M/EEG or f/MRI data analysis. Knowledge of Spanish (or willingness to learn) is a plus
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in advanced methods for the analysis and classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and
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classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and language. The successful applicant will perform
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or equivalent Skills/Qualifications Valued/Preferred qualifications: Experience in software solution development Experience with machine learning models Experience in R&D&I projects (Research, Development and
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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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of machine-learning models at catchment to regional scales. LanguagesENGLISHLevelExcellent Additional Information Work Location(s) Number of offers available2Company/InstituteUniversitat Politècnica de
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and a focus on professional growth and development. Specific Requirements Linux and programming (python and/or other languages) Interest in infectious diseases Team working & love learning Talented and
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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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skills Excellent organizational and time-management skills, including the ability to deliver timely and high-quality outputs Enthusiasm to learn new skills outside own discipline Summary of conditions
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-quality outputs Enthusiasm to learn new skills outside own discipline LanguagesENGLISHLevelExcellent Internal Application form(s) needed Call phd_plan nacional_FINAL.pdf English (160.09 KB - PDF) Download