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, mathematics, data Science or related disciplines with a proven track record of expertise/expertise in tool and algorithm development and/or applied bioinformatics, who are also keen to expand our research
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault
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inference in engineered systems, including telecom networks; The development of neuromorphic algorithms and spiking neural models with built-in efficiency and reliability guarantees; The design of reliability
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understand the etiology and pathology of systemic diseases, Digital Twin Innovation Hub is developing technology capable of integrating multiple mathematical approaches to fully represent and predict
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
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Science or related disciplines with a proven track record of expertise/expertise in tool and algorithm development and/or applied bioinformatics, who are also keen to expand our research efforts in
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complexity theory, fast matrix multiplication algorithms, the geometry and representation theory of tensors, asymptotic spectrum duality, and applications? The research group of Jeroen Zuiddam at University
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various processes in modern machine learning, including learning, inference, and generation. In particular, we are working to establish novel theories and algorithms that enhance the efficiency
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Specific Responsibilities/activities: Maintaining long-term observational capabilities Participating in intensive field campaigns Designing novel tailor-made algorithms and inversion methods Combining
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Science. • Demonstrated effective writing and verbal communication skills. • Experience using technology in teaching and experience teaching in multiple modalities (hybrid, online, and face-to-face). • Evidence of