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of data, assists in preparation of grants, ethics application, summary reports and publications. WORK PERFORMED: Works in co-operation with members of the research team and following research ethical
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on the development and application of computational approaches to model chemical processes across multiple size and time scales. The team has pioneered methodologies for exploring chemical reactivity, including tools
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interpretation and exploration of data; managing multiple research projects simultaneously; drafting, proofreading, and submitting manuscripts for publication in peer-reviewed journals; and writing and managing
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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | 15 days ago
their school career, with many moving multiple times (Jørgensen & Perry, 2021). Existing research shows that such mobility tends to be associated with lower attainment, poorer attendance, reduced wellbeing, and
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into the open-source CADET simulation framework, enabling fully predictive process simulations without extensive experimental calibration. Embedded in the Helmholtz Graduate School for Data Science in Life, Earth
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Summary To perform scientific research, specifically research activities related to X-ray crystallography and bioinformatic analysis of proteins and to report results ready for publication and/or use
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season across the urban floodplains in the Twin Cities working across multiple organizations. The position will have the opportunity for flexible work during the planning and analysis of data collected. o
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strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both
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related in space and time and to behavioral events. Core Tasks: Getting familiar with the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for
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isotherm parameters directly from molecular properties. These predictions will be integrated into the open-source CADET simulation framework, enabling fully predictive process simulations without extensive