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and have a PhD in a field related to mathematical modeling and experience in optimizing industrial processes, this might be something for you! We are looking for a postdoctoral researcher (“PostDoc”) to
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 7 hours ago
. The project that we propose is part of this growing AI4Science movement, focusing on a key challenge in experiments: figuring out which model parameters best match the data we observe (Figure 1). More
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
. *Train and onboard new research analysts on our process and methods for econometric models that support the American Growth Project. *Serve as the first point of contact for junior research analysts who
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Fellow in Hydrology and Water Resources. The successful candidate will conduct advanced research in hydrologic modeling, flood forecasting, extreme weather, snow observation, soil moisture data analytics
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machine learning models that predict soil health and crop performance. The position will exploit datasets integrating biochemical and molecular soil parameters (with a focus on microbiome features from
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and apply state-of-the-art modelling, characterisation, and machine learning techniques to understand how batteries behave and age. Collaborating with project partners, you’ll turn these insights
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Storage (GCS) applications. You will specifically apply these methods to dynamic reservoir modeling, area of review evaluation, and wellbore integrity assessment of GCS in both new fields and reuse
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training and consultancy advice across Schools and Divisions. Model positive leadership behaviours and support team development. Skills and Experience To be considered for this position, you will have: A
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redirecting blood flow, then safely dissolving, eliminating long-term risks of permanent implants and aligning with Net Zero Goals. You will use modelling to identify an optimal PHA-based design with a
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management, and assessment of student learning and engagement. Uses predictive analytics and forecasting models to help make accurate projections which will inform campus decision. Works to enhance effective