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) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in
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to validate theoretical approaches, utilizing machine learning techniques to derive meaningful conclusions. Collaborative Projects: Engage in collaborative research with interdisciplinary teams, contributing
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fixed-term position at the School of Science and Technology. The postdoctoral researcher will be affiliated with the Machine Perception and Interaction Lab at Örebro University, which carries out multi
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-Physical Systems, you will teach at undergraduate and postgraduate level, including courses in computer architecture, embedded software, real-time systems, and AI-based perception for cyber-physical
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) is considered valuable for integrating perception with control during deployment. Your Profile: Current master studies in physics, computer mathematics, electrical/electronic engineering or a related
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, environment, and digital transformation. This position is part of an ERC Starting Grant awarded to Associate Professor Daria Gritsenko (Principal Investigator) for a project examining how perceptions
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safely are essential. A willingness to learn and adapt in a dynamic military facility environment will help ensure ongoing success. Minimum Qualifications: Journeyman level or equivalent certification
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the LAMP group at the Computer Vision Center (CVC), in Barcelona, Spain. The position is for 2-3 years and linked to the project “Foundations for Adaptive and Generalizable Deep Learning” (EXPLORA
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, scanning, printing, and linking student documents in Perceptive Content, preparing admissions folders and additional marketing materials for prospective students, and creating reports in Salesforce including
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priorities, and working on multiple projects simultaneously. Open to learning and developing new skills. Excellent interpersonal, verbal, and written communication skills. Demonstrated ability to collaborate