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Research Assistant Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 28 to 32 Application deadline: 1 October 2026 Apply now How are
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Are you eager to dive into cutting-edge neuromodulation and real-world symptom monitoring? As a research assistant in our team, you will be running TMS sessions, working with intensive longitudinal
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About the department The VUA Department of Computer Science has approximately 250 members, including 50 tenured staff members and 40-50 PhD students. The tenured staff members form the basis for the functioning of the department. A tenured staff member is required to make significant...
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The Faculty of Behavioural and Social Sciences (GMW) excels in research and teaching in the areas of behaviour, thinking, learning, and participation in society. More than 4,500 students and approximately 650 staff address social questions and challenges that people experience in daily life. Our...
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At ACTA, we are proud of our diverse groups of patients, staff, and students, and we view diversity as an asset. Are you interested in working with us? If so, you’ll help improve oral health for everyone
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Apply now Do you want to understand the cognitive processes underlying everyday conversation? As a research assistant, you will critically evaluate cognitive theories and use computational modelling
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This position is part of the LiSa (Lithium refining via Salt-assisted crystallization) project, a collaborative initiative involving Nobian, Back-to-Battery, Demcon, ISPT, and the University
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scientific initiative focused on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and
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machine learning, structured domain knowledge, knowledge graphs, simulations, multi-agent systems, and reinforcement learning. The (proposed) research assistant will support the development and testing
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and