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Field
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may include but are not limited to: advanced hardware and algorithms for neuromorphic computing; computational cognitive science to model behavior, perception, learning, reasoning, and decision-making
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-omics data sets generated with innovative high-throughput technologies used in Research Sections I and II (e.g. sensory, metabolome, proteome and transcriptome data) by using efficient algorithms and
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beyond the current state of the art are essential. This PhD position is part of a research project conducted in close collaboration with leading Swiss industry partners, offering a unique opportunity to
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Fault Detection and Diagnosis of Industrial Machinery School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Hua-Liang Wei Application Deadline: Applications accepted
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instructor modification, within the overall focus on exploring speech recognizer core components and their underlying algorithms and surveying real applications, with coursework that involves students building
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algorithms for neuromorphic computing; computational cognitive science to model behavior, perception, learning, reasoning, and decision-making; and computational approaches for analyzing and interpreting
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the future of technology. Essential Duties and Responsibilities Design, simulate, and implement advanced control algorithms (e.g., PID, adaptive, model predictive control. Etc.) for biomedical devices and
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. Independently develop methods and work with faculty, students, and academic and industry partners to successfully complete projects. Other duties as assigned. Basic Qualifications MS or PhD in remote sensing
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). Prepares and reviews papers on research. Develops new algorithms for analysis of RNA FISH, DNA FISH, and neural connectome in situ sequencing technologies. Collaborates fluidly with other computational
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. A PhD in Computer Engineering, Electrical Engineering, Computer Science or related areas, with teaching experience, is required by employment start date. Candidates should have experience with a range