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the design and optimization of multistatic and multifrequency radar architectures for near-field 3D imaging. - Contribute to the electromagnetic modeling of radiating systems, wave-object interaction, and
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related field. - Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. - Life Cycle Assessment (LCA): experience with, e.g., Brightway2, Activity Browser or SimaPro
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) or closely related field. Process simulation : Aspen HYSYS/Plus. Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. Life Cycle Assessment (LCA): experience with, e.g
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for Accelerated Materials Innovation, which aims to transform the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform. MAIAMI aims to establish
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: Digital twin and process optimization with AI Where to apply E-mail doctorats.industrials.recerca@gencat.cat Requirements Research FieldMathematicsEducation LevelMaster Degree or equivalent Research
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and digital logistics in agri-food production. The project aims to prevent and control pathogens and optimize environmental and energy sustainability in livestock systems within a One Health framework
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seeking a PhD candidate to join our Food Safety and Functionality team located in Monells (Girona), offering a great opportunity to work in a dynamic and collaborative environment within our organization
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simulation : Aspen HYSYS/Plus. • Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. • Life Cycle Assessment (LCA): experience with, e.g., Brightway2/SimaPro/Activity
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embeddings using accessible databases as proof of concept. Analysis of the performance and efficiency of hybrid quantum-classical and quantum-inspired approaches will be done, comparing them to traditional
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the supervisors, with potential avenues including optimization aspects, parameter-efficient adaptation methods, model merging theory, multi-modal continual learning, or adaptation to open-world scenarios. PROJECT