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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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) - Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. - English: demonstrated ability to write and edit scientific texts in English. Specific Requirements - Quantify
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target for premature vascular aging in chronic kidney disease and type 2 diabetes" and will perform the following tasks: -Models of vascular calcification in experimental animals. -Study of
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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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for experiments using reinforcement learning, Bayesian methods, image analysis and data analysis. Collaborate with interdisciplinary teams, including machine learning experts, device modelling specialist
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data in order to identify the different cooling stages and analyse the influence that different parameters may have on heat treatment D. Detailed numerical modelling of the heat treatment process to be
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work. Availability for a ≥4 month stay abroad. Background in at least one of: AI/machine learning, computational modelling, microscopy, or cell/molecular biology. LanguagesENGLISHLevelGood Additional
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valued. Familiarity with clean-room fabrication, Raman spectroscopy, thermoreflectance or related methods will be considered an advantage. Proficiency in instrumentation, data analysis, basic modelling and
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FOR DRAWING UP OF PREDOCTORAL CONTRACTS FOR THE TRAINING OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 119865 Development of machine-learning and graph-based models
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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