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Field
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validation datasets Integrate surrogate models into workflows to predict bias-driven structural and electronic evolution Design and execute high-throughput calculations; build and manage curated materials
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in merging soil physics knowledge and data-driven modeling of soil processes and properties, starting
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
11 Nov 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United
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areas in data science and engineering systems. Required Knowledge, Skills, and Abilities Demonstrated expertise in computational sciences and numerical modeling. Demonstrated expertise in machine learning
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
, or similar platforms for thermal and fluid dynamics simulations. Strong programming skills in MATLAB, Python, R, or similar. Machine learning or data-driven modeling experience applied to environmental control
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-driven, with a genuine interest in developing sustainable technologies through experimental and modeling research. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future
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-based wildfire simulation, fuel modeling, remote sensing, data-driven methods, artificial intelligence, and real-time applications. The successful candidates will contribute to the development of faster
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
Materials Research Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models
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experience with process modeling with Aspen Plus Demonstrated experience with statistical analysis (i.e. sensitivity or uncertainty) PhD degree in chemical engineering or related field Preferred Qualifications