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individual-level fertility and forecast future levels of fertility. The postdoctoral researcher will contribute to research of fertility by investigating the causes of poor prediction and forecasting in
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body of work on the many characteristics associated with fertility. Despite this, we are poorly able to predict individual-level fertility and forecast future levels of fertility. The postdoctoral
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interest in probabilistic neurocomputing and naturalistic approaches. You have experience with behavioural or patient studies. Experience supervising students at various levels would be an advantage. You
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understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management. One the project outcomes is to explore
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develop the urgently needed system understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management
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The past decades have been associated with substantial losses of sea ice over both hemispheres. Existing climate models are currently unable to accurately forecast these changes, in part due
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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
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associated with substantial losses of sea ice over both hemispheres. Existing climate models are currently unable to accurately forecast these changes, in part due to their imperfect representation of ocean
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, cash flows, and long-term business viability. Your Role We are seeking a highly motivated and creative postdoctoral candidate to develop data-driven financial forecasting, planning, and scenario-analysis
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candidate to develop data-driven financial forecasting, planning, and scenario-analysis tools. You will work on three closely connected tasks in Horizon Europe funded “Sustainable Circular Economy Transition