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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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(OAE) is a promising method aimed at increasing the ocean's capacity to absorb atmospheric CO₂. However, its biogeochemical, physical, and climatic impacts—as well as its interactions with other
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asymptotic analysis and other perturbation methods, and numerical, i.e. an existing in-house code will be modified to achieve the objectives. This project offers the unique opportunity to develop strong skills
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of related start-ups. For more information about our Center, please visit our webpage: https://vanguard.um6p.ma/ Offer description: There are many systems of interest to scientists that are composed
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of the hotspot quantification with the nanoagent size and the optical fluence for instance, and (3) numerically modeling the hotspot measurement with the photoacoustic method to link the mesoscopic measurement
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: https://eo4society.esa.int/communities/scientists/ More specifically, the Trainee will be part of the Earth System Science Hub, a new science laboratory in ESA working as center for networking and
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and numerical methods, collaborate with top universities, secure government funding, and actively participate in CMIP6 and the upcoming CMIP7 using the in-house Taiwan Earth System Model (TaiESM
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AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials
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related fields. Background on numerical methods and/or programming skills will be valued. Starting date: PhD contract should start as soon possible, in any case, no later than September 1st, 2026
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | 26 days ago
, Geology, Mineralogy, Physics or related field # Experience in experimental methods for analyzing reactive transport processes # Experience in evaluating large (tomographic) data sets # Knowledge of handling