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in the field of theoretical physics • the ability to perform numerical calculations Description: We are looking for one PhD student to work in the Department of Theoretical Physics at the Maria Curie
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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: Applications accepted all year round Details Data assimilation combines physical models with experimental or numerical data to produce dynamically consistent flow reconstructions. In turbulence, where full
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"Phase-space-inspired numerical methods for high-frequency wave scattering: from semiclassical analysis through numerical analysis to implementation". The design of fast and reliable algorithms
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: Experience in one more of the following areas: Mathematical tools for data analysis Numerical methods for differential and integral equations Modern machine learning software tools and frameworks
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, 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 decimal places. 6.3 — The jury
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Engineer to conduct research on air traffic management (ATM) algorithms and
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credits* in chemical engineering, mechanical engineering, applied mathematics, or a closely related field. Strong background in computational modeling and numerical methods Experience with multiphase flow
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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international research contexts Your Profile: Excellent Master’s degree in mechanical engineering, energy systems, computational engineering, or a related field Strong background in numerical methods and applied