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post-docs that are willing to work on this innovative project at the frontiers between behavioral pharmacology, artificial intelligence and neurosciences. Candidates with strong background in data
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expertise in neuroscience, artificial intelligence, and cognitive psychology to develop a unified theory of auditory-scene analysis in brains and machines. Close collaboration with Prof Elia Formisano's group
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. - Knowledge in programming, data treatment, electron diffraction simulations, mathematical skills, knowledge about machine learning and artificial intelligence is a plus. Website for additional job details
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: This project is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the
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of EXOSTECH is to fill this gap. The methodology is based on the development and application of innovative principles such as the integration of tribology with artificial intelligence to study use-wear patterns
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of their life cycle. Recently, two technologies have emerged that offer new possibilities: high-throughput systems like flow chemistry, which can rapidly generate chemical data, and artificial intelligence (AI
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: • PhD in Geography (Remote Sensing, Geomatics), Computer Science, Agricultural Sciences • Skills and/or knowledge in artificial intelligence (Machine Learning) and programming: proficiency in Python