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schemes and identify the application in larger HVDC systems. Expected Results Definition of relevant scenarios for the use cases, inspired in realistic European systems. Detailed simulation models
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher will use the ISBA land surface model developped at CNRM to study the
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and data-based models for describing complex materials and (re)active molecules with a focus on their interfaces. Development and implementation of new methodologies and algorithms for simulating
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experience in manufacturing systems modeling, simulation (i.e., DES), and digital twins. • Good knowledge and experience in machine learning, reinforcement learning, and AI-based optimization for production
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experience in computational systems modeling, simulation, and analytics; OR Master's degree in computational biology, systems biology, bioinformatics, biological engineering, biophysics, or related field plus
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research activities related to electronics, electrical engineering, and telecommunications Operation of laboratory and technological equipment used in research work Simulation and modeling of phenomena
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on the propagation of social movements and other diffusion phenomena (epidemics, dissemination of opinions or false information). Develop modeling that may use epidemic propagation or reaction-diffusion models, or any
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implementation of Hierarchical Modelling of Species Communities (e.g. HMSC) to analyse biodiversity-environment-disturbance relationships and simulate community responses in abyssal seascapes Producing open-access
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agroecosystem model simulations. The successful candidate will play a key role in developing robust landscape-scale digital twins and advancing data assimilation techniques for agricultural and environmental
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simulations of compact binaries (including, for example, binary black holes, binary neutron stars, and black hole–neutron star binaries). The broader goals are to generate accurate predictions for gravitational