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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 6 hours ago
are the following: This grant aims to benchmark deep learning-based CAD-Free RGB(D) pose estimation methods for spacecraft applications (2 grants) This grant aims to develop robust MPC strategies based on two player
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 6 hours 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 | 5 days 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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6 Mar 2026 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Computer ingineering Research Field Engineering » Computer engineering Researcher Profile First
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: 1) Knowledge of the principles and methods of indigenous education 2) Knowledge of health and human services systems
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) Computer user skills (mandatory) Excellent command of English (mandatory) Ability to work in a team (mandatory) Professional skills: Development of ab initio methods (optional) Methodological skills: Python
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-of-the-art computational methods they couldn't otherwise access. You'll be the AI/ML specialist who makes cutting-edge methods accessible and applicable to biological discovery. Key Accountabilities Support
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, socialization, personality, and emotional behaviour. Estimated TA support: 75 hours Estimated course enrolment: 60 students Class schedule: Wednesdays and Fridays 10 a.m. - 1 p.m. The delivery method
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application form, available at: https://uoft.me/CUPE-3902-Unit-3-Application-Form Applications submitted through any method other than email will not be reviewed or processed. Closing Date: 03/25/2026, 11:59PM