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stacking, both high performance and (very) high density can be achieved by this concept. The mission will be to explore, understand and develop the fundamental physics of device operation. This will require
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collection of >6,000 isolates of the fungus present in the lab (and 20+ closely related species). Additionnally to computer analyses (which will represent the core of the project), the PhD student will
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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of the computer equipment necessary for the research work, - the financing of regular travel between the different laboratories involved in the project, - as well as support for the doctoral student's participation
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implement innovative solutions to enable seamless operation in connected and autonomous mobility use cases. - Validate research outcomes through a combination of high-fidelity simulations and
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the list of publications Cover letter Copies of previous degrees Names and contact details of two academic referees Early application is highly encouraged, as the applications will be processed upon
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the organising principles of biological information processing, focusing on the underlying physics of computations and sensory environments. This exploration has led to developing models and advanced statistical