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tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
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imaging beyond the limits of conventional voxel-based imaging. The project will involve theoretical and computational work, with particular emphasis on physics-based simulations, biophysical modelling
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energy systems modelers to supply validated process data for system-level energy and carbon footprint modeling. Supervise and mentor MSc and PhD students contributing to process analysis, instrumentation
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includes the following tasks: Develop computer-aided design software for modular construction of switchable RNA nanostructures. Develop databases for RNA modules for automated building of atomistic models
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quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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or similar. Experience in handling dynamic modelling and control, experimental setup and testing, Digital Twin and Machine Learning Publication experience Collaboration and/or management skills Communication
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2026 or as soon as possible thereafter. The position seeks to strengthen and complement the Department’s ongoing activities in freshwater ecology, particularly aquatic ecosystem modelling and water
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SMARTFIELD project. We are looking for a candidate with a solid background in social science, environmental management, sustainability science, agroecology, or a related field, who is motivated to work with
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of risk management, and remain poorly understood, even within the physical and engineering sciences communities. This project will investigate the environmental, technical, social, legal, and policy
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identification and population monitoring Contribute to automated approaches for tracking long-term population trends in wildlife Collaborate with colleagues on ongoing modelling and simulation work across the