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, including with the use of machine learning use this knowledge to design excavation trajectories that reduce energy consumption develop mathematical models of excavation energy losses communicate your findings
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focused on understanding and countering harmful narratives and, mis/disinformation, and applying social network analysis. To be successful you will need: PhD in a relevant discipline such as computer
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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-aperture testing of advanced thermal compensation schemes; advanced numerical simulation and analysis tools; improved opto-mechanical sensors for current GWD; high-precision measurement of optical absorption
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to evaluate key disease processes, including cell migration, tissue remodelling, and molecular marker analysis. collaborate with interdisciplinary collaborators to develop and assess advanced drug delivery
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methodologies for neuroimaging data pre-processing and analysis; with a motivation to learn new techniques and keep up-to-date with best practices. Publication and Dissemination: Prepare research findings
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of recruiting talent aligned to these values. We are looking for a Postdoctoral Research Fellow who has: a PhD (or in near completion) in the relevant fields of Artificial Intelligence, Machine Learning, HCI
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that reveal the biology behind challenging childhood diseases. Rare diseases affect 400 million people worldwide; most still lack answers. Autonomous AI can compress months of genomic and literature analysis
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time