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GW’s physics-led modeling effort by integrating computational/theoretical chemistry, molecular simulation, data analysis, and predictive modeling to establish mechanistically grounded relationships
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Help build the model library at the heart of UTOPYS, a new national facility for real-time power system simulations. Job description Future power systems are converter-dominated, fast, and
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palaeontology) and biomechanics (3D modelling and simulation; form-function correlations with performance; virtual robotics), and other research in the Structure & Motion Laboratory, Department of Comparative
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Carleton University | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 13 hours ago
postdoc programs. The candidate is expected to do research in the field of theoretical astroparticle physics (broadly defined). Top-ranked applications will be sent to the MITF and MI-CITA Evaluation
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the relative contributions of radiative and mechanical energy to JWST spectra. Using existing and newly computed model grids, the postdoc will develop an integrated framework to infer excitation conditions and
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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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data collection (in vivo (non-invasive) and/or ex vivo; robotics) is essential to the project. Other skills relevant to the project (e.g., 3D imaging/modelling; biomechanical modelling/simulation
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. The lab takes a genomics approach to biochemistry to study transcription factor function. Our work combines experiments, theory, computational modeling, simulations, machine learning, and evolutionary
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and unsupervised pattern recognition problems as well as decision making tasks. Your duties will include reviewing relevant literature, designing and simulating neural network models, analyzing and
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cycle assessment, life-cycle cost analysis, pavement simulation, machine learning, deep reinforcement learning, and/or physics-informed modeling frameworks; and demonstrated ability to effectively