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We hereby invite applications for one or more PhD position focusing on the development and application of hyperspectral imaging technologies for bulk forensic evidence analysis. The project aims
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solution for the future of maritime decarbonisation. Your work tasks The research assistant will be involved in high-fidelity numerical modelling and a comprehensive analysis campaign of flexible power
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associated with interpretation of measurements from blood and, in particular, measurements from a blood gas analyser. Often, blood samples can be incorrectly assessed due to gas contamination, delayed analysis
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Analysis and Perception Lab in Aalborg. Your work tasks As assistant professor in computer vision and artificial intelligence, you will be part of the Visual Analysis and Perception Lab at the Department
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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
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AI and computer vision. Who we are You will be employed at the Department of Architecture, Design and Media Technology at Aalborg University and anchored in the Visual Analysis and Perception Lab
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Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
learning, graph-based models, generative AI, data-driven modelling, or workflows. Specific areas of interest include, but are not limited to, workflows, closed-loop materials synthesis, characterization and
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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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and environments that integrate visual, auditory and haptic stimuli for remote collaboration. The successful candidate will take a leading role in the project's central technical objective: the design
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given the increased pressure from human activities that push species to extinction and potentially disrupts ecosystem functionality. Our interdisciplinary lab will develop novel Graph Representation