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computing. This particular position focuses on time-series analysis and forecasting using transformer based foundation models. About the Project Time-series prediction using transformer based models is
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decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux
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correction, or many-body quantum systems. o Proficiency in numerical simulations (e.g., tensor networks, quantum circuit modeling). · For Experimentalists: o PhD in atomic/molecular/optical (AMO) physics
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theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and
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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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, Mathematical Modeling, Operations Research, Data Science, Numerical Computing, etc; l Preferably under 35 years old. n Assistant Professor l Ph.D. in Mathematics; l Promising research trajectory and a well
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39133 Job Number SE179024 Position Information Department or Unit Name Fowler School
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 1 day ago
conducted within the Ecology and Modelling for Fisheries (EMH) laboratory of the HALGO unit, part of the DECOD Joint Research Unit. Members of the laboratory develop knowledge and methods supporting
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Geography, and the like Demonstrated analytical, programming, or numerical methods skills (e.g., C++, Fortran, Python, R, Matlab). The candidate must be fluent in written and spoken English and Portuguese
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and the safety implications arising from these interacting processes. You will use and extend PyBaMM, which is an open-source Python-based battery modelling framework (https://pybamm.org