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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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, a computational approach with the generation of realistic models of the auditory system allows us to make theoretical predictions and verify our experimental results. The engineer will be responsible
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the internal team on advanced spintronic applications. • Monitor emerging trends in MRAM, magnetic sensors, and neuromorphic computing to guide innovation. • File patents and help build Spin-Ion’s intellectual
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or embedded systems. You have experience in computer architecture and/or hardware synthesis and/or formal methods for hardware verification. You enjoy working in an applied research environment at the state
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programmes; and teaching and learning initiatives Secretary to the Faculty's Teaching and Learning Committee (TLC) and coordination of the implementation of the decisions of the TLC Support the Faculty and
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curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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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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the exact calculation of the square-root and inverse square-root of the source distribution covariance matrix. This approach offers analytical and computational advantages in comparison to existing methods
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, 42* Orozco et al, 2022. *PLOS Comput. Biol.* 18, e1009398* Petitjean et al, 2021. *Mater. Sci. Eng. C* 121, 111800