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). Research Responsibilities Lead the experimental design to simulate early Archean conditions. This includes modeling polymerization and fluid-organic interactions, considering 'Possible Archean' Ocean
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researcher with experience in semiconductor device physics and numerical modeling will be employed. The candidate is expected to have experience in conducting numerical simulations using computational packages
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by logging into their existing Workday employee account. Position Summary: Responsibilities: Demonstrate the ability to plan, model, deliver, and develop rich, standards-based, student-centered
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programming such as Python, R, MATLAB, or other similar programs and experience in using simulation/optimisation models and advanced data handling techniques e.g. machine-learning techniques, statistics
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direct support to NASA’s Space Radiation Program. The selected candidate will conduct research focused on developing computer models to simulate the interaction of high charge (Z) and energy (HZE) ions
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of this research is to develop improved methods for updating simulation models for decision-making, through integrated knowledge of reservoir engineering and geology. The fellow will work within the scope
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Infrastructure? No Offer Description This project is part of the European ERC Synergy project Karst https://erc-karst.eu/ , which aims to develop a predictive flow model for an entire karst network. We will
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 9 days ago
Framework Programme? Not funded by a EU programme Reference Number 2026-09703 Is the Job related to staff position within a Research Infrastructure? No Offer Description Our team is working on imitation
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. The candidate’s research should exploit phenotypic traits in response to environmental variables and management factors. We seek an individual who has achieved international recognition in simulation modeling
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simulations and thermal comfort analyses by developing fast parametric algorithms and data-driven surrogate modelling approaches capable of predicting dynamic outdoor thermal comfort with high accuracy