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Field
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on food craving and health-related decision-making. To this purpose, we will use a combination of brain imaging, behavioral measures, and machine-learning techniques. Activities The successful candidate
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different biological matrices; processing and interpretation of proteomics data; Good knowledge of fish physiology; stress response in aquaculture fish; fish blood sampling and biochemical analysis; mucus
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structural MRI data Programming and coding scripts for data analysis Writing research papers under the supervision of the PI, aiming to publish in top-tier journals Dissemination of results at national and
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Responsibilities Data analysis and management. Typically, staff are involved in several projects, managing volunteer research assistants, assisting with grant proposals, and writing reports for funders, and
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research projects (e.g., data collection, analysis) Experience with MEG or EEG data analysis. Knowledge of Basque, Spanish or LSE (or willingness to learn) is a plus LanguagesENGLISHLevelExcellent Additional
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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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of Regulatory Decree 11-A/2017, of 29 December, including the following: Experience in the development of intelligent systems, data collection, analysis and processing, forecasting and real-time monitoring
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twins and determination of the structural properties of rotor blades to improve the estimation of remaining useful lifetime (RUL) along with other requirements and simulations. Your work will advance
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production and analysis, content interaction and availability, and Norwegian language technology. The goal is to develop responsible technological solutions to societal challenges like AI, fake news, echo
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analysis. Collaborating in the writing of scientific reports and articles and presenting work at scientific meetings. Communicating with partner institutions and stakeholders. Organising meetings and