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: Identification of EEG and fMRI biomarkers with potential predictive value for psychedelics’ antidepressant effects (National Institute of Mental Health (NIMH), Czechia) DC4: Mapping the subjective phenomenology
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Kogias as part of his ERC Starting project titled CloudNG (https://cordis.europa.eu/project/id/101220079 ). The post will be based in the Department of Computing at Imperial College London at the South
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international research institution with high academic standards and an interdisciplinary work environment, developing forecasting systems and tools for conflict predictions? The Peace Research Institute Oslo
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does change the world. For more information about Texas McCombs please visit: https://www.mccombs.utexas.edu/ Purpose This Data Analyst position will join the Full-Time Career Education and Coaching team
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to perform disease modeling and critical analytics in response to infectious disease outbreaks. Duties will include helping to implement predictive and analytic models of infectious disease using Python and R
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the effects of extreme heat and cold exposure on health outcomes in people with multimorbidity, using a combination of population-based data analysis and controlled experimental approaches. The project will
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integration, testing, documentation, and version control workflows; • coordinating contributions from the research team to ensure smooth, coherent, and efficient integration of new developments. Team support
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educates University employees, HDCS customers and stakeholders about relevant compliance requirements, trends, industry best practices and loss control/injury and illness prevention solutions. Financial
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particle clustering and morphology affect strain localization and damage evolution. Integrate experiments and modelling to create predictive tools for recycled alloy performance. Your immediate leader is
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enablers for predicting and reasoning about dynamics and transport patterns, in turn being of key importance for a broad range of human activities. The research in the PhD project will focus on core spatio