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particular: propose and conduct comparative benchmarking of neuromorphic hardware using both event-based sensor data and conventional sensor data (such as optical or hyperspectral imagers typical of space
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, mythical scenes of making, or depictions of making in sacred or military contexts). They will take into account (where applicable) how images interact with epigraphic frames and contexts of production and
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applicable) how images interact with epigraphic frames and contexts of production and reception. The researcher is free to design, within this broad topic, a research project with a specific focus. Questions
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infrastructure for species identification and monitoring (for example in the ARISE and DiSSCo projects). We run nature identification services processing many millions of images/month for users including
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expert network. You will be able to interface with experts from other engineering disciplines for applications and potential demonstrations. You will be responsible for: prototype applications, proofs