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and objectives Vision-language-action models (VLAs) Investigate VLA models and multimodal representations that connect visual observations and language instructions to robot behaviour, including
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world-class research Centre working with questions on consumer behaviour in relation to food and beverages as well as the implications of insight into consumer behaviour for both industry and public
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that explain how humans learn, adapt and stabilise navigation behaviour in urban environments. The project will combine methods from transportation science, artificial intelligence, computational neuroscience
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universities. The transition towards electrified and energy-efficient energy systems poses significant challenges in predicting the coupled behaviour of thermofluid, electromagnetic, and rotordynamic processes
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: Develop and validate physics-based, data-driven, or hybrid digital twins of Electrolysis systems, capturing their electrochemical, thermal, flow, and system-level behaviour for system monitoring, state
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behaviour for system monitoring, state estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and control, and evaluate
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mentally demanding a task is and how this fluctuates over time. This suits candidates with a strong technical background and an interest in human behaviour and cognition. The second position focuses
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have a strong focus on multidisciplinary collaboration across the department and conduct department seminars and other activities to foster this. We also prioritize social activities to welcome and
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PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
) in the EU), will be compared to later protected life-stages. Methods include detailed organ histopathology, advanced imaging and spectroscopy, gene expression profiling, behavioral analysis
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. We conduct world-class research in the areas of aquatic biology and ecology, Arctic environment and ecosystems, biodiversity, conservation biology and wildlife management. The Department currently