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complexity science, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including interdisciplinary communication and collaboration. You will also be offered
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environmental and life sciences challenges. Courses will cover topics such as complexity science, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including
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the solution of governing PDEs. - Train machine learning models to predict lifetime and failure based on loading and environmental histories. The PhD student will have access to world-class computing facilities
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@ssmeridionale.it 5. Global History and Governance (GHG) Program duration: 4 years No. of scholarships: 5 Coordinator: Prof. Daniela Luigia Caglioti Contact e-mail: ghg@ssmeridionale.it 6. Law and Organizational
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the PhD, having obtained a Master’s degree in a relevant field, such as AI, cognitive psychology, mathematics, physics, (computational) neuroscience, etc.. Terms and conditions The terms of employment
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performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling
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teaching, MM859: History of Mathematics for mathematicians and future teachers in mathematics, T560022101: Prototypes and Animations for Computer Games Expected start date for the PhD position in
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by interaction with its application and, in turn, is key to progress in technology and science. In Göttingen's mathematical history, this is exemplified by Carl Friedrich Gauss, who was inspired by his
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diversity. We work to identify the genes that regulate plant development, describe the evolutionary histories of these genes, and connect the molecular evolution of developmental genes to the evolution
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for teaching and research for the tenure track period CV including employment history, list of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching