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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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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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., conferences, workshops, white papers). Is Your profile described below? Are you our future colleague? Apply now! Required Qualifications PhD degree in System Engineering, Software Engineering, Model-Driven
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-based decentralized trust computing, software engineering/model driven design and architecture techniques, real-time 3D graphics, Metaverse design and deployment, digital twin technology, and others
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you enjoy working on interdisciplinary research that bridges energy modelling with climate science, hydrology, risk analysis, and integrated assessment? Join us as a PhD candidate. Your job The rapid
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university in an urban and wide-range community. The University?s research portfolio includes a broad range of activities spanning physical, social and life sciences, engineering, and medicine. This position
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statistical approaches to a range of audiences. Desired Experience in developing, maintaining and documenting R code for re-use on multiple datasets Selection Criteria (Level C) Essential A PhD in Biometry
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and control of windfarms For this position the research activity is expected to develop new methods in robust and physics-informed machine learning, reduced-order modelling, data-driven nonlinear model
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embedded within a diverse and interdisciplinary research environment comprising experienced scientists in toxicology and human health, analytical chemistry, software engineering, statistics, and
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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