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: Performs specialized research techniques and procedures related to phenotypic characterization of cardiovascular disease using available signal-based and imaging techniques. Compiles and analyzes data using
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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validation to improve understanding and prediction of subsurface processes. Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU
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instrumentation package. • Implement real-time signal processing and post-processing techniques to improve recording fidelity. • Design and test hardware on the bench to ensure robustness prior
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of the wearable, diagnostic device and signal processing aspects of several world-first multi-modal studies seeking to assess and quantify the effect of repetitive head impacts on short-term and long-term
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particular emphasis on the intersection between cell signalling and division, using C. elegans. The research project is funded by the BBSRC for three years and is led by Dr Tim Davies. The research will
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aims to provide mathematical models of decontamination processes and is funded by the Defence Science and Technology Laboratory (Dstl). The approach to mathematical modelling is multifaceted, with
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blot, histology, immunohistochemistry), Cardiac cell and tissue culture (incubator), Bioinformatics (transcriptomics, metabolomics, proteomics), Signal processing (optical action potentials, electrograms
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the operation, simulation, and/or data analysis of DUNE prototypes located at CERN. South Dakota Mines is located less than an hour’s drive from the Sanford Underground Research Facility (SURF), home of the DUNE
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the ecological conditions under which compositionality and dishonest signalling emerge in novel communication systems, using state-of-the-art Virtual Reality experiments. Since there are no archaeological records