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statistical methods and relational databases to analyze data sets. Prepares or assists with preparing reports of research findings. Assists with planning, developing, coordinating, and administering research
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23 Mar 2026 Job Information Organisation/Company Universidade de Coimbra Department Department of Mechanical Engineering Research Field Engineering » Electrical engineering Engineering » Computer
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 28 days ago
proper mechanisms for guaranteeing the privacy of the patients. Additionally, AI methods that explore this data may ensure that the patients are not identifiable and that all decisions are transparent
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
: The scholarship holder will acquire electrophysiological data (EEG; ECG; EMG) from healthy and/or stroke patients, involving brain-computer interfacing with VR training in a lab and in a clinical environment
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theory. Independently conduct experiments; maintain detailed records of experiments and outcomes. Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment
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Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team
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methods. X-ray power diffraction experimental design and quantitative data analysis. Strong computer skills, including calendaring, document management, Dropbox, Box, etc., word processing, database
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clients. Use laboratory computer systems to order tests, generate results, generate reports, document results and communications, interpret results, and other lab duties related to inventory, testing method
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to react to the wind before it hits the blades. Using upstream LiDAR measurements (taken several rotor diameters ahead), you will develop a wind field forecasting method, leveraging principles like Taylor’s
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selection. However, currently, no unbiased method exists to accurately estimate genetic variance in populations under selection. The GEN project aims to develop and validate a general method to quantify