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and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data
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and teaching department. Research currently focuses on computational engineering, information processing systems, robotics, telecommunications, and biomedical engineering, but we are looking
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, information processing systems, robotics, telecommunications, and biomedical engineering, but we are looking to establish new research themes. This post will be affiliated with the computational engineering
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, information processing systems, robotics, telecommunications, and biomedical engineering, but we are looking to establish new research themes. This post will be affiliated with the computational engineering
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industrial objects. Depending on the object characteristics and quality requirements, different capture systems are applied. Calibration of 3D scanning technologies is the critical first step for the accurate
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ecotypes and seek to identify their associated and underlying genetics. Specifically, it will examine parallel evolution of genomic divergence, gene expression levels, and alternative splice variants
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algorithms in the context of sparse optimization and applications in real world data sets. We are also interested in exploring opportunities for parallelism of the completion process, highlighting
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of Pediatrics, Division of Infectious Diseases. Primary responsibilities will include advance level support in financial management and post award processes: sub-award continuations, account reconciliations and
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and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data
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numbers of samples in parallel. Prior experience handling and processing 96-sample assays, such as 96-well PCR plates or 96-well screening assays. Interest in liquid-handler automation of wet-lab workflows