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. Were seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modelingintegrating first-principles simulations with machine learningfor chemical and
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Full time Fixed term: 36 months We are seeking to appoint three Postdoctoral Research Associates (PDRAs) to work on the project ‘Calving Law for Ice-Climate Simulations (CALIX)’ funded by
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Numerical simulations Analysis of experimental data Laboratoire Jean Perrin Theory group Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8237-RAPVOI-006/Candidater.aspx Requirements Research
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experience in perturbative large-scale structure modeling (LSS), in particular biased dark matter tracers, in simulated dataset analysis, as well as strong programming skills in Python and C. Familiarity with
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, the PhD candidate will either model the redistribution of a focal animal or herbaceous plant species, or simulate changes in potential animal and plant diversity at the ecosystem level. References: Chuine I
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engineeringEducation LevelPhD or equivalent Skills/Qualifications We are seeking a scientist with: Expertise in image-based biological tissue modeling and simulation Good command of deep learning Expertise in coding and
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unrealistic for simulating a pilot-scale or industrial mixer with real powders [1]. Therefore, more macroscopic models need to be developed. CFD-type simulation methods [2] might be developed to that purpose
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: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series
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for the calculation of the importance of systems, structures, and components—and, more generally, of parameters or variables—in the modeling of complex technological assets, by leveraging modern computer simulations
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degree TUITION FREE A generous retirement plan and so much more! Salary Grade: T23 Salary Range: $32,000 - $45,000 Learn more about the “T” salary structure here: https://careers.temple.edu/sites/careers