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engineering, or similar. Solid mathematical and analytical skills, including signal processing and optimization. Knowledge about classical and/or quantum data communication, including for instance error
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facilities. You will be responsible for designing and conducting experiments to assess environmental (e.g. temperature and oxygen) tolerances and identify optimal conditions for the species, ideally working
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performance. This topic is based on a Sapere Aude Research Leader grant from the Independent Research Fund Denmark: Optimizing Human-AI Interaction: Integrating Domain Knowledge into Causal AI Systems: Causal
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developed to allow operators to visualize real-time risk indicators, maintenance sched-ules, and preventive repair alerts, facilitating optimized maintenance decisions and reducing unplanned downtimes
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sensor integration. Experience with SLAM algorithms (vision-, acoustic-, or inertial-based), state estimation (e.g. Kalman filtering, pose graph optimization), or collaborative positioning is highly valued