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Chemistry and Microbiology Cluster (CME Cluster), whose research focuses on understanding the mechanisms (physico-chemical and (micro)biological) at different scales (from the molecule to the ecosystem
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training in oceanography, climate science, Earth Observation, and data science within a highly international research team. The Chair of Data Science in Earth Observation develops innovative signal
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aims to rethink how soft robots can interact with their environment, focusing on large-area, multi-point contacts—similar to how an elephant wraps its trunk around an object. Unlike traditional robots
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the previous point 6, and as additional specific requirements, have proven experience, through publications and/or scientific communications, in the oxidation/doping of carbon nanomaterials, preparation of metal
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their application, selecting the procedure to which they intend to apply. The documents inserted in the application are exclusively in digital portable document format (pdf), apart from the documents mentioned in
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“RIPLEY,” led by Dr. Cosimo Della Santina. The project aims to rethink how soft robots can interact with their environment, focusing on large-area, multi-point contacts—similar to how an elephant wraps its
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encourages qualified candidates with disabilities, gaps in their CV, immigrant backgrounds or different life experience to apply. If applicants indicate they have disabilities or gaps in their CV
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on the legal challenges technical industry is encountering when adopting AI in its processes. The successful candidate will carry out an analysis of how the European legal framework (including the AI Act, GDPR
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energy requirements. By doing all processing locally on-chip, the system eliminates the need for sending large amounts of unprocessed brain signals wirelessly that is essential for building completely
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related field. A keen interest in particle physics and data processing at high-energy physics experiments. A strong background in (experimental) particle physics and statistical data analysis is an added