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Field
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innovating new approaches to lead our institution and nation to positive change. Since 2017, SCI has hired more than forty-five faculty members, and we are continuing our growth with multiple faculty openings
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functional genomics (CRISPRi/a, Perturb seq, combinatorial screens), single cell and spatial omics, metabolomics, and immunopeptidomics. The successful candidate will pioneer assay-algorithm co design
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projects involving methods development, novel algorithm development and/or in-depth data analysis that facilitates and integrates implementation, visualization, and database management of multi-dimensional
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used in architectural simulation framework for tightly integrating these accelerators into heterogeneous systems and SoCs that may contain multiple different kinds of accelerator devices. Identify
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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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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