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Field
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
1 – Molecular Simulations of Asymmetric Biological Membranes (CRC 1348) Biological membranes are intrinsically asymmetric molecular assemblies whose organization and function emerge from the interplay
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preferred (Master’s degree or higher). Skills and Knowledge: Proficiency in programming, traffic simulation, statistical modeling, and machine learning/deep learning techniques. Excellent communication skills
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strategy capable of determining, for a given quantity of interest (efficiency, forces, losses, fluctuations, etc.), which simulations should be performed and at what fidelity level in order to achieve
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documents must be sent: Copy of the civil, tax, bank and, where applicable, social security identification document(s); Copy of the certificates and transcripts of the academic degree(s) held; Candidate and
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resulting simulations against airborne, surface, and satellite observations, and finally, to investigate how changing NOx emissions have altered the cycling and impacts of tropospheric NOx over time. Job
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” reflected in all our activities. We offer more than 40 study programs, from one-year programs to PhD-programs within e.g. Health Sciences and Social Care, Informatics, Law and Social Sciences, Logistics
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filters and observers, for real-time applications. Proficiency in MATLAB and Simulink for modelling, simulation, and validation using experimental or real-world data. Strong analytical, independent research
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the position We are seeking a highly motivated PhD candidate to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software
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to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software development, and experimental validation in the Norwegian Cyber Range
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features, the PhD will first learn an individualised cognitive simulator that models how a person generates expressive responses under emotional, social or conversational contexts. The simulated cognition