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methodologies, interfaces, and best practices to ensure model reusability and knowledge transfer across teams. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/systemctlm-modeling
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University London was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https
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Università degli Studi di Padova - Dipartimento di Biomedicina Comparata e Alimentazione | Italy | 13 days ago
that led to the population explosion of the blue crab and identification of future climate scenarios,derived from Euro-Cordex simulations under current IPCC scenarios up to 2100, of such environmental
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Brazil, evaluates the effectiveness and unintended effects of anti-crime policies, and broadens the methodological toolkit to structural models that allow for counterfactual policy simulations. As in CLEAN
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model of the Inspection Testbed. Use CS Ontology elements or add new elements if necessary. Include requirements, verifications and traceability. Include resilience KPIs in the model. Upload the model
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that demonstrate an excellent aptitude for experimental research and, in particular, numerical modelling, is a positive characteristic. IT and simulation skills, combined with organisational and communication skills
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designing, developing, and supporting training activities, preferable in health science education or higher education setting. · Management and programming of simulation models highly desirable Preferred
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within the LIENSs Laboratory a 1-year postdoc or a research engineer to improve the numerical modelling of nature-based solutions in coral reef and saltmarsh environments using the numerical modelling
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on the layouts and integration schemes, 3D structures are simulated in TCAD then used to produce electrical compact models for both the device and the RC parasitics due to the metal interconnects. These models
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optimisation, leading to a reduced part scrap rate. Build simulation tools that support the understanding of defect generation during forming. Identify state-of-the-art software and methodologies for modelling