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Field
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU), Campus Odense, invites applications for one PhD candidate position in Computer Science, fully
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systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural language understanding (to interpret instructions), and action generation (to respond), enabling robots
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to your work duties after employment. Required selection criteria You must have a Master's degree in cybernetics, control systems, or equivalent, with a strong training in robotics or computer vision or
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or computer vision or machine learning. Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level. You must have a strong academic background from
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the general study program. The PhD Stipend is open for appointment from 01.02.2026 or as soon as possible thereafter. The position is for 3 years, and the workplace is in Aalborg. Your work tasks You will be
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) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural