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Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | 3 months ago
and ecological change. The research combines critical advanced quantitative spatial analysis with qualitative and participatory approaches to connect structural inequalities with lived experience
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the following post: Research Assistant Professor Department of English (Post Ref.: 26/24) The Department of English (https://www.ln.edu.hk/eng ) is at the forefront of addressing the complexities of English
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data collation and analysis, as directed, assist with coding, compile a bibliography, and support production of a report. Main Duties and Responsibilities Perform the following activities in conjunction
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community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced
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to augment classical spike train analysis methods particularly those developed by Prof. Grün and others for detecting synchronous spiking activity with AI-based enhancements. After profiling the classical
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across subsets of neurons to low-dimensional manifolds of high-dimensional space of population neuronal firing rates. Thus neuronal experimental data are to be analyzed for both aspects by PCA analysis and
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usuarios en escenarios reales y simulados Research for the analysis and definition of functional requirements, human-centered UX/UI experience design, and advanced prototyping of digital solutions in open
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phytochemicals, including extract preparation, chromatography, and bioassay-guided fractionation in collaboration with chemists. Data analysis and interpretation, including statistical evaluation of dose–response
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. Thus neuronal experimental data are to be analyzed for both aspects by PCA analysis and statistical multivariate methods to extract spatio-temporal spike patterns. Finally both results will be linked and
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on model behavior. We will divide our work into three thrusts: Thrust A: A first major objective will be to augment classical spike train analysis methods particularly those developed by Prof. Grün and