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uncertainty". The goal of this project is to advance our understanding of how humans are able to act in complex and uncertain circumstances, and how such knowledge can be applied to smooth our interaction with
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to the development of Ecological Risk Analysis Tables (ERATs) to support the development of coastal management accounting for climate change and species interactions. The post-doc will have an important role in
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in statistics, applied mathematics, big data analysis, and computer science. The main purpose of the fellowship is to qualify researchers for work in higher academic positions within their disciplines
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, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis, geometric modelling, acoustic signal propagation, Monte Carlo
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take responsibility for the planning, execution and analysis of high-quality research, ensuring the validity and reliability of data at all times and will maintain ongoing scientific discussion with
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, mathematics, statistics, documentation, records management, data utilization, complex problem solving, critical thinking, resource management, and writing skills Skills and abilities: This will vary based
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Student or Postdoc (f/m/x) in the field of Theory and Methods for Non-equilibrium Theory and Atomistic Simulations of Complex Biomolecules Possible projects are variational free energy methods
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papers. Requirements: Education: PhD in Physics or related degree Knowledge: Complex oxides (Ferroelectrics, antiferroelectric, nickelates, etc), nanomechanics, photovoltaics, scanning force microscopy
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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to help monitor and combat online social influence and promote a healthy information environment. The successful candidate will join the School of Computing and Mathematical Sciences as part of a project