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field High level of motivation for research, attention to detail, scientific creativity, and writing skills Languages skills: fluent in English Proficiency in machine learning and large omics data
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) that can benefit either from: (i) continual learning, and (ii) spiking neural networks implemented in neuromorphic processors. Design and develop the machine learning algorithms able to provide a good
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and optimization we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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research and information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G
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with non-terrestrial networks (NTNs) is considered a plus but it is not required Solid background on mathematical optimization tools Good knowledge of the recent trends in machine learning design
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Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from various disciplines. Computer scientists, mathematicians, biologists, chemists, engineers
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... The expected PhD candidate should have: A Computer Science background Expertise in Machine Learning, Deep Learning Good programming skills (python, Java…) Fluent written and verbal communication skills in