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Field
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runaway models and numerical methods in OpenFOAM. Design and optimize computational frameworks for high-performance simulation of reacting flows and battery safety phenomena on modern GPU architectures
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and numerical methods for many-body dynamics beyond the reach of standard classical simulation. About the role We have a high preference for a candidates who is willing to start imminently, and before
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Physics, Particle Physics, or Quantum Field Theory; experience in the use of numerical and symbolic algebra methods. Desirable requirements: Experience in nonperturbative methods of Quantum Field Theory
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to space-related technologies, and implement their solutions as cutting-edge, efficient numerical methods. The focus is on building rigorous frameworks that can capture the complexity of challenging
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Requirements Applicants must hold a doctoral degree in Mathematics, Statistics, Data Science, Artificial Intelligence or a related field.Basic knowledge of numerical methods for ordinary and partial differential
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, or on the observation and monitoring of science and technology or system of higher education, in Portugal or abroad. 6.2 — The score obtained in the curricular evaluation method is expressed on a numeric scale of 0 to 20
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. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
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or system of higher education, in Portugal or abroad. 6.2 — The score obtained in the curricular evaluation method is expressed on a numeric scale of 0 to 20, considering the valuation up to two
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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, as well as the team’s work on applied mathematics and advanced numerics, via the ACT website (https://www.esa.int/gsp/ACT/) . You also are encouraged to visit the ESA website: https://www.esa.int