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), ISCTE. Organic Unit: Centre for Computational and Stochastic Mathematics Scholarship Theme: A Forecasting Framework for Pandemic Monitoring and Decision-Making Duration: 6 months Maximum Duration
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: Experience with mathematical, computational, or statistical modeling Experience developing simulation models, agent-based models, network models, stochastic systems, or dynamical systems Experience with R
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energy supply systems, multi-objective and stochastic optimization, advanced statistical analysis, and data visualization. This position offers the opportunity to work with a multidisciplinary team of
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, with a background in information theory and stochastic physics applied to biological data. Further requirements include past experience with: Teaching and advising undergraduates. Experimental
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and Gaussian state formalism. Quantum information theory and entanglement theory. Theory of spin-mechanical systems. Open quantum systems, continuous quantum measurement and feedback, and stochastic
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of computing, automata theory, graph theory, discrete mathematics, probability theory and stochastics, and linear algebra. We also value skills in e.g. using computational techniques in TCS, familiarity with
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 4 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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methods, risk and reliability, stochastic control processes, dynamic programing, deep reinforcement learning. Strong track record in scientific contributions supported by peer-reviewed publications. Strong
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neuromorphic, stochastic, reservoir and probabilistic computing, and on the physical realization of probabilistic p-bits, laying the groundwork for future quantum-inspired computing concepts. Frontier research
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optimization methods and/or efficiency analysis (DEA, stochastic frontier, dynamic optimization). Experience with production function estimation, panel data econometrics, and risk analysis. Familiarity with U.S