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, for the development of embedded algorithms and control systems, paradigms of shared-control and sensory feedback for wearable robots like limb prostheses or wearable devices for assistance and (neuro)rehabilitation
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, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce
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communication in English. • Ability to work with colleagues of different background, as well as conduct pilot study on construction sites. • Familiar with construction workflows and optimisation algorithms
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) into communication channels to defeat matching algorithms, presentation attack detection, or human reviewers. Protections against these attacks focus on two areas: defending against the injection and detecting
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, autonomous learning agents are likely to take an active role in human society, engaging in daily interaction and collaboration with humans. Developing learning algorithms that enable these agents to produce
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. For example, we would like to be able to track how the prevalences of different strains in a mixed sample change over time. Your role: You will develop and implement algorithms to find, quantify and track
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27.10.2025 Application deadline: 30.11.2025 Are you excited about the possibility to explore ethical, philosophical, legal, epistemic or social implications of using machine learning in different
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. This role will contribute the development of novel machine learning algorithms for wireless sensing and communication and the proof of concepts for next-generation wireless communication, collaborating with
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methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation
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comparing models with entirely different structures and parameter counts, whether comparing linear regression against mixture models or decision trees. MML is strictly Bayesian, requiring prior distributions