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Field
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physics-based insights with data-driven methods—such as physics-informed neural networks, surrogate models and Bayesian optimisation—to explain formation behaviour, identify early indicators of cell
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join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting opportunity for an early
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the Centres aims and values; participate in and develop internal and external networks, for example to identify sources of funding or build relationships for future activities; be able to communicate complex
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motivated Research Fellow to join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting
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dehydrogenation reactions. The successful candidate will select and synthesise ligands and organometallic complexes from the library, including pincer ligands, and evaluate their catalytic performance in
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motivated Research Fellow to join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting
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integrate tissue mechanics, developmental genetics, transcriptomics, biophysics, and theoretical modelling to study how complex organs like the heart form in living embryos. We are seeking a postdoctoral
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application of large quantities of complex information to improve health, healthcare decision-making, or the wellbeing of citizens. Life sciences applications/startups that do not have an obvious digital health
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or close by Oslo city is expected. The appointed candidates will work within the collaborative EU funded doctoral training network HEALENAE: Health and Environment in Africa and Europe. The network will
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, and finally using deep learning to solve the complexity challenge associated with coherent beam combination. The role Within HiPPo, your specific task will be to develop a ‘digital fibre laser’, through