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Position Title: Postdoctoral Researcher – Geometallurgical modeling and environmental assessment of mining waste Duration: 12 months renewable. Position Summary: We are seeking a highly motivated
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago
. Description: The NASA Earth eXchange (NEX) seeks a post-doctoral fellow to conduct research related to developing and applying foundation models, including the recently developed Prithvi WxC model. The fellow’s
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12 Months, Fixed-Term, Whole-Time Post Position Summary The Energy Policy and Modelling Group is recruiting Post-Doctoral Researcher to grow our research in energy systems modelling, particularly in
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The Role Applications are invited for a Postdoctoral Research Associate in the field of agent-based modelling of past societies, working on the Science, Society and Environmental Change in the First
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theoretical ecology, geosciences, applied mathematics, environmental physics, or a related field. Research experience in numerical modelling, preferably with knowledge of either eco-evolutionary models and/or
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qualitative data. ● Familiarity with mental modeling, fuzzy cognitive mapping, concept mapping, or some comparable research techniques. ● Some background in environmental or ecological sciences. ● Demonstrated
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strategies for conventional HVAC systems that condition entire indoor spaces using existing thermal comfort models, which could improve the performance of existing buildings and HVAC systems. The work will
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Job Description Job Responsibilities: -Design and implement AI/ML models to analyze large-scale agricultural datasets (e.g., field trials, satellite imagery, IoT sensor data). -Develop pipelines
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Epidemiology and Environmental Health Posting Number P250195 Posting Link https://www.ubjobs.buffalo.edu/postings/58536 Employer State Position Type Professional Appointment Term Term Salary Grade SL1 Posting
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science, environmental modelling, geosciences, or related field with strong quantitative focus. You have a deep understanding of statistical uncertainty quantification methods, sampling strategies, and