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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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models of spinal cord injury (SCI) to study regeneration and evaluate therapeutic strategies. Project Overview: This PhD project aims to develop and compare humanized in vivo and in vitro models of spinal
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organization. The position focuses on epidemiology and modelling plant disease in fruit trees with a deep knowledge on the biology, epidemiology, modelling and management of diseases of fruit trees, accordingly
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of federated algorithms that enable fair management of the advantages and duties of energy communities in which vulnerable people live. The automatic generation of data models using AI technology will enable
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machinery. These tasks include the verification of backlash detection and monitoring strategies formulated from the integration of multibody models and sensor data, as well as their subsequent development
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machinery. These tasks include the verification of backlash detection and monitoring strategies formulated from the integration of multibody models and sensor data, as well as their subsequent development
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of preclinical models. Collaborate with other projects of the group, by promoting fruitful discussions or by helping in experimental work Participate in general activities of the group Support the principal
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modeling software (Autocad, Rhino, Revit) - Photo and video editing software (Photoshop, Illustrator, InDesign, Premiere...) - Parametric design software (Grasshopper) Specific Requirements - Se valorará la
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for research staff (contract type: open-ended contract; job category: PhD junior researcher) to collaborate with the funded line of research “Biological Systems Modelling and Applied Marine Ecology
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No 101073106) The main objective of the GECKO project is to bridge the existing gap between the CAD and the computational models (CAE) and integrate them within the industrial workflow. This will imply