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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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Experience in machine-learning modeling for solid mechanics applications Experience in the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology
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and modeling research. •Compile and analyze current scientific data on GHG emissions in freshwater ecosystems, focusing on CO2 and CH4 emissions. •Acquire, organize, and evaluate GHG emissions data from
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 18 hours ago
to work independently, e.g., experience presenting research; experience supervising students Computer skills include mastery of programming languages (Fortran, R, Python, MATLAB) Modelling packages
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(posted 2025/08/15, listed until 2025/10/15) Position Description: Apply Position Description About the position We are looking for Quantitative Researchers to help us build models, strategies, and systems
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energy densities exceeding LMFP and competitive with NMC. A postdoctoral research position is available on this 3D-CAT project in the area of computer modelling and materials design of lithium battery
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on monitoring and modeling research. • Compile and analyze current scientific data on GHG emissions in freshwater ecosystems, focusing on CO2 and CH4 emissions. • Acquire, organize, and evaluate GHG emissions
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Michael Bronstein, AITHYRA Scientific Director AI and Honorary Professor of the Technical University of Vienna in collaboration with Ismail Ilkan Ceylan, expert in graph machine learning, invites
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ You will be hosted in the Process Modelling, Automation and
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, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must