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. The candidate will contribute to projects focused on developing advanced machine learning models to quantify phenotypic and agronomic traits of crops, including corn, soybean, and other selected species
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Weather and climate prediction are undergoing a profound transformation. Alongside traditional physics-based forecast systems, machine-learned (ML) weather prediction models, hybrid ML-physics
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understanding of the interrelations between air quality, climate change, and human health, with expertise in atmospheric composition modeling, air quality forecasting, satellite-based PM2.5 estimation, and
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Deploy detailed models of coupled ocean / sea ice processes, probe their turbulent interactions, compare with observations, and design parameterizations for global climate models. Job description
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-Brain Barrier (BBB) / Blood-Spinal Cord Barrier (BSCB) assembloids, and spinal cord/motor neuron models—to investigate the molecular and epitranscriptomic mechanisms driving neurodegenerative conditions
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the CaCO3 – P interactions. As postdoctoral researcher within PHOSFLUX, your role is to model P dynamics in sinking and deposited marine snow in relation to changing environmental conditions in the water
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analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic performance apply machine-learning interatomic potentials and microkinetic models where appropriate
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Requisition Id 17135 Overview: We are seeking a Postdoctoral Research Associate – Modeling, Controls, and AI for Thermal Systems to advance the design, operation, and maintenance of thermal systems
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. The Lindberg lab explores smart chemical and biological toolkits for biofabrication of advanced 3D-models, organoids, and injectable therapies. Ongoing projects aim to advance treatments for musculoskeletal
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responsibility. 3) Scientific analysis and interpretation: - Develop advanced analysis methods to quantify bedload transport: full responsibility. - Interpret results and propose explanatory models: primary