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Field
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experimental work; • Strong interest in modeling/simulation, particularly multiphysics modeling, and data analysis; • Autonomy, scientific curiosity, and the ability to work in a multidisciplinary environment
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to attach when applying: Curriculum Vitae, duly updated, dated, and signed; Copy of academic degree certificates. a) If the possession of a degree is a requirement for the grant, candidates
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
schools, clinics and water facilities, while reducing dependence on diesel generators and promoting circular economy solutions. The work will mainly focus on modelling, algorithm development, simulation
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scanning and measurement, garment fit evaluation, cloth simulation, digital twins, wearable sensing, smart textiles, and AI methods for clothing and body data analysis, to name a few. Applicants from
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evaluate large language models (LLMs) assisted methods for extracting, organising and assessing complex scientific information related to materials. The initial application will be phase diagrams and related
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modern control design methods Experience with modelling and simulation of dynamic systems Programming proficiency sufficient for implementing and testing control algorithms Experience with nuclear reactor
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an SEM. The project combines theoretical modelling, numerical simulations, hardware development, precision engineering, and experimental validation, providing a unique opportunity to contribute
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
emissions once new aircraft types are introduced. The produced methods and models will form part of a larger simulation enviroment that evaluates the airspace of the future. The research should consider
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a wild, non-model plant species. Your job To face climate change and other environmental challenges, the capacity for rapid adaptation is crucial for both natural plant populations and crops
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adopt and extend in-house homogenized constrained-mixture (finite element) models for cardiovascular tissues towards simulating cartilage G&R (see Cyron et al., 2016 ). You will then simulate cartilage