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to work on the use of hyperspectral data to explain and predict soil functions and communities in European mountains. We are looking for a candidate who has a very good command of artificial intelligence
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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Biomarkers and Susceptibility Unit (UBS). To find out more, visit our website: https://www.odap-ico.org/ About the role We are seeking a highly motivated data scientist to join the research team on artificial
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field. This approach is related to data assimilation, allowing for better prediction, control, and optimisation of turbulent systems in engineering, energy, and environmental applications
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– scholarship position available in the Institute of Physical Chemistry PAS within FENG.02.02-IP.05-0063/25 „Smart Engineering of Catalysts for Hydrofunctionalization Reactions: From Selectivity Control to a
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and Engineering Sciences at the University of Bonn, Germany, invites applications for a full W3 Professorship for Pest and Disease Forecast and Sustainable Control to be filled at the earliest possible
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researcher shall develop R&D activities in the field of batteries for microgrid applications. Such activities will involve at least: Tasks Description: Testing of battery cells and/or modules in controlled
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anticipating crises. Current landslide prediction models, based mainly on rainfall thresholds, become ineffective in the presence of snow cover. Snow acts as a temporary reservoir, storing precipitation before
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" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding. South Carolina
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recover quickly from disruptions. The research will involve reinforcement learning, predictive modeling, and real-time adaptive control to dynamically optimize production sequencing, resource allocation