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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a distributed energy optimization local controllers leading to the grid edge conceptual
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goal is to understand and predict global climate change, and we strive to be at the forefront of climate and environmental research. In collaboration with national and international research communities
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mechanics and foundation engineering in light of geologic conditions, recognition, prediction, and control or abatement of subsidence, landslides, earthquakes, and surface/subsurface disposal of liquids and
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study for the evaluation of analytical fingerprinting techniques such as food fraud screening for the improvement of official agri-food inspection and control plans Functions and Tasks: The postdoctoral
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, data-driven control in high dimensions has penetrated many new application areas. Examples include control of autonomous vehicles based on video data, simulation-based prediction of turbulent flows and
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Institut de Recherche en Génie Civil et Mécanique (GeM) | Saint Nazaire, Pays de la Loire | France | 18 days ago
plateformes expérimentales de pointe. Les candidatures doivent être déposées sur la plateforme Amethis (https://amethis.doctorat.org ). This PhD thesis lies at the interface between materials mechanics
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, for the project “PREDICT-OAE project (From data to PREDICTion: modelling temporal ecological–biogeochemical links under Ocean Alkalinity Enhancement”, financed by internal funds from CIÊNCIAS and FCiências.ID
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validated method for predicting this phenomenon or for accurately measuring the rate of wear caused by cavitation. There are still many scientific challenges in fully understanding and characterising
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14 Mar 2026 Job Information Organisation/Company Scuola IMT Alti Studi Lucca Research Field Computer science » Modelling tools Engineering » Control engineering Physics » Applied physics Engineering
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]. These systems are characterized by highly nonlinear, anisotropic, and time-dependent responses governed by evolving internal mechanisms and environmental conditions, making their predictive modeling particularly