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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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will focus on developing novel AI-driven methods for modelling, estimation and control of brain dynamics – time-dependent patterns of neural activity fundamental to brain function, behaviour and
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urban scene, relatively affordable living, rich cultural offerings, and vibrant nightlife. Further questions regarding the open PhD positions can be discussed with the supervisor, Prof. Dr. Steven Travis
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of models in existing simulation software conducting numerical studies, also on HPC systems Further specific tasks can be tailored to the attitude and interests of the PhD students/postdocs. Requirements
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Behaviour-Based Anomaly Detection
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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection
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and simulation techniques to reduce food waste and make food supply chains more sustainable? If your answer is “Yes!” to these questions, then this PhD position might be the perfect opportunity for you
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Job description The Sustainable Systems Engineering (STEN) group and the research units BIONAMIX and BIOVISM of Ghent University welcome a candidate for a full time PhD position on advancing