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. The programme will explore the biodiversity and biological adaptations of plants, animals and microorganisms to extreme mountain environments, while developing new genomic tools and predictive models
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using Tableau Commitment to improving data quality and documentation Key Responsibilities: Data visualization and analysis (40%) Visualize data, create metrics, and develop analytical models (predictive
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
projects are the analysis of gene expression patterns in malignant human tumor samples mostly coming from clinical trials and preclinical model systems, and on the continued development of genomic-based
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of the North American Ice Sheet Complex forebulge. The candidate will calculate misfit values between the statistically modeled RSL and glacial isostatic adjustment (GIA) model predictions of RSL to identify
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to correct or account for these biases, and build predictive models that simulate biological responses to in silico perturbations such as genetic or pharmacological interventions. The project aims to advance
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between the University of Plymouth and Cornwall Partnership NHS Foundation Trust, starting in May 2026. About the role The purpose of the role is to develop and apply mathematical models and computational
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learning models will be employed to anticipate coverage changes and manage gateway handovers proactively. This predictive approach is intended to minimize packet loss, reduce latency, and ensure continuity
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Overall, Purpose of the Job We are looking for one Research Associate to work on the development, implementation and testing of predictive control algorithms for the optimal coordination
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. Transforms complex institutional data into actionable insights that inform planning, budgeting, and strategic initiatives. Develops predictive and statistical models, prepares analytical datasets using SQL and
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intelligence methods and models suited to the objectives of monitoring and predictive maintenance. Data collection, structuring, and preparation: Setting up pipelines for collecting operational and expert data