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Field
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component that helps clinicians understand why an AI output is considered safe, unsafe, uncertain, privacy-risky, or potentially manipulated. Required knowledge Essential Strong programming skills in
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component that helps clinicians understand why an AI output is considered safe, unsafe, uncertain, privacy-risky, or potentially manipulated. Required knowledge Essential Strong programming skills in
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and machine-learning algorithms for conflict detection, collision avoidance, flight-path planning, and rerouting under uncertain and dynamic maritime traffic conditions. Develop perception- and
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complex, uncertain environments. This PhD project focuses on developing novel algorithms and theoretical foundations for machine learning, with particular emphasis on reinforcement learning, bandit
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metals, which are associated with uncertain supply chains, pollution due to mining, and geopolitical issues. Therefore, research on alternative rare-earth-free magnets is a top priority and paramount for
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of next-generation soft robotic systems that can adapt to complex environments and uncertain interaction conditions. The vision of RAI is aiming in closing the gap from theory to real life, while the
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between aerosol particles and clouds make a potentially important but highly uncertain contribution to the anthropogenic radiative forcing of climate. This project seeks to better understand the ways in
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problem: nonlinear, high-dimensional models with uncertain parameters that must be fitted to noisy data, and simulations so expensive that fitting them demands new algorithms and scalable software
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. position is part of a national research project "Human-Centered Intelligent Realities (HINTS)" which is being carried out together with seven industrial partners and is externally funded by the Knowledge
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feasibility, and passenger impact. These decisions are challenging because the relevant effects and factors are difficult to quantify and are inherently uncertain, whilst decision-making power is