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. Documented programming skills to compute data driven simulation models and AI systems. Ability to develop monitoring and evaluation framework and collect data. Fluency in English, both written and spoken, as
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stipulated stipend guidelines for Postdoctoral Associates. Job Duties Collaborates on the development of AI/ML/NLP-driven solutions for healthcare challenges. Reads and interprets patient-level data to support
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, knowledge-driven models and AI-based decision support can be integrated to support resilient and energy-aware manufacturing systems. Special emphasis will be placed on multi-objective optimization, learning
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National Laboratory's National Synchrotron Light Source II (NSLS-II) seeks a Postdoctoral Research Associate for AI-driven Structure Analysis for Biological Discoveries for an on-site position in
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14 Jul 2026 Job Information Organisation/Company KU LEUVEN Research Field Computer science » Modelling tools Computer science » Programming Computer science » Systems design Technology » Computer
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
Engineering, Nuclear Engineering, or a related field # Strong background in the mechanical behavior and fracture mechanics of metallic materials # Experience with finite element modelling, in particular in
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 6 hours ago
stochastic methods. Build 3D geologic and petrophysical models of oil and gas reservoirs using well logs, core, seismic, and completion data. Integrate machine-learning and data-driven techniques for reservoir
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dissection. · Experience with the characterization and phenotyping of genetically engineered or experimentally induced mouse models. · Experience with skeletal muscle phenotyping, including
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gasification and pyrolysis Good programming skills in MATLAB, Aspen Plus, Modelica, etc Good knowledge of data driven methods for modelling and optimization Good knowledge of AI Experiences in scientific
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responsiveness? How can AI-driven EO systems adapt in real time to uncertain, fragmented, or high-risk environments, including those with limited ground-truth data? What role will predictive models and real-time