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for both youth and police. You will collaborate with stakeholders, end-users, game designers and our CONTEXT science team to improve our virtual reality game and its biofeedback algorithms. You will perform
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algorithms to shape the liveable cities of tomorrow? Job description Human-centred AI techniques, such as Reinforcement Learning from Human Feedback (RLHF), hold great potential for supporting design
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probabilistic generative models for networks; analyze real network data from different application domains; design efficient algorithmic implementations of the theoretical models. You will be supervised by Dr
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analogue field tests; mathematical modelling and simulations; research and integration of novel sensors for robot perception; algorithmic design and computer programming implementation of building blocks
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of platform data handling and payload data processing equipment; the implementation, inference, verification and validation of algorithms** on data processing hardware platforms for space applications** in
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. This includes modelling, data analysis and algorithmic development, as well as experimental validation of models and algorithms. It contributes to the performance assessment of space missions. More specifically
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learning algorithms. Personalizing user interactions by building models that adapt explanations to specific knowledge levels and interests of users, so that user modelling and formal reasoning transform
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within the field of machine learning, search, and reasoning techniques. Demonstrable knowledge and/or experience in algorithms and programming is a must; Is able to translate and convert this knowledge
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on the optimisation of the data architecture to enable the efficient use of artificial intelligence and machine learning. Duties These positions combine EO domain knowledge (EO instruments, EO data, EO algorithms
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setting, enabling fast and predictable adaptation with minimal overhead. A central focus is the co-design of algorithms with edge hardware and embedded platforms. You will investigate implementation