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Field
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of the MOST (Modelling and Simulation of Turbulence) team focus on the numerical prediction of turbulent and multiphase flows with a broad range of objectives from fundamental understanding of flow properties
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
out research duties within the project “FibroRevert - Modeling and targeting cell-extracellular matrix communication to revert tissue fibrosis”, GA 101221669, funded by the European Research Council
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. Knowledge of renewable energy systems (hydropower, wind, solar) and their grid integration. Experience in mathematical modeling, optimization algorithms, and data-driven methods. Possess a strong academic
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Development Incentives system (SIID), regulated by Ordinance No. 328 B/2023 of October 30, in its current version and under the terms of Notice MPr-2023-7 - SIID-R&D Empresarial - Co-promotion Operations
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forecasting models to help estimate which occupations school leavers may enter in the future, what skills they may bring with them, and how this relates to the skills in demand on the labour market. You will
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theory and non-standard logics, preferably within one of the two branches of the project: Modal Logic of Forcing Inner Models from Extended Logics These are active fields within set theory, with many
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fellowship or career development funding early in the postdoctoral period. Salary will follow the current NIH postdoctoral stipend scale and will be commensurate with experience. The University of Iowa Carver
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field. Strong foundations in machine learning and familiarity with current AI tools and practices. A solid understanding of large language models, in particular their reliability, security, and
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Description The main tasks to be carried out by the selected candidate will be the following: ● Develop new methods for the uncertainty quantification of non-linear statistical models using the 'online
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agricultural sector in which agriculture goes hand in hand with soil health and nature restoration, and a good revenue model for farmers. Between now and 2030, ReGeNL will start the transition to regenerative