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feed artificial intelligence models to predict fermentation performance and market impact. Where to apply Website https://www.univr.it Requirements Additional Information Eligibility criteria
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): https://grail.physik.tu-dortmund.de/ The objective of GRAIL is to study high-energy phenomena, such as terrestrial gamma-ray flashes (TGFs), thunderstorm ground enhancements (TGEs), gamma-ray glows (GRGs
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): https://grail.physik.tu-dortmund.de/ The objective of GRAIL is to study high-energy phenomena, such as terrestrial gamma-ray flashes (TGFs), thunderstorm ground enhancements (TGEs), gamma-ray glows (GRGs
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simulation environment so that issues at the interface between the electricity markets, end customer supply, and decentralized energy systems can be investigated. To this end, suitable models and methods
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of Psychology at Princeton University. Research in the lab focuses on the cognitive, computational and neural bases of cognitive control, using a combination of behavioral, neuroimaging, and AI modeling methods
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of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) development of novel machine learning models and adaptation of existing approaches for scientific applications
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focuses on the study of large-scale circulation in the Atlantic Ocean, combining oceanographic data analysis, satellite observations, and numerical modelling to better understand tropical–subtropical
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Approach ( https://vhrz669.hrz.uni-marburg.de/ssf/ ). Understanding the mechanisms controlling subsurface flow (SSF) and the conditions under which it occurs remains a major challenge in hydrology and
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position within a Research Infrastructure? No Offer Description The project involves the use of models for the hydrological and environmental analysis of watersheds, as well as for assessing the impacts
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reconstruction of Calabrian aquifers using GMS or Visual MODFLOW environments. Calibration of the models based on hydraulic head and salinity concentration data measured in the field. Simulation of seawater