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Intelligence applications in mountain meteorology, weather forecasting, and fire science. Climate implications of water and energy use for powering AI. Mountain meteorology, especially downwind of the Sierra
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learning, and Earth sciences. We are seeking a highly motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge
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analysis and strategic decision support that informs executive, operational, and clinical leadership across the Cancer Center. You will develop budgets, forecasts, financial models, pro forma analyses
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to the career objectives of the applicant. Duties The principal duty of the postdoctoral research is to undertake high-quality research, communicate their findings, and develop/strengthen skills that will benefit
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financial administration, budget management, and developing and forecasting budgets. Knowledge of and experience applying complex policy documents, labor agreements, government employment requirements and
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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restricted and unrestricted funds. Support center operations by developing operational budgets, staff support, operations funding management and forecasting and maintaining & identifying strategic partnerships
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Prof. Alain Chong and Prof. Ying Weng are seeking an outstanding Postdoctoral Research Fellow to join the newly established Postdoctoral Research Station in Business Administration at the University
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, Droughts, and Desertification Water-Related Hazards Climate Change and Adaptation Strategies Integrated coastal zone management (ICZM) Water information, knowledge and decision systems Forecasting and
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research work or publications. Contact details of two professional references. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/412674/iwri-postdoctoral-p… Requirements Additional