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Field
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compared with observations, offering a powerful way to test our theories. The combination of novel AI methods and broad statistical analyses will help us pinpoint the exact roles of solar flares and coronal
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Bring segregation theory and models to industrial practise. Job
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cycle) and system transitions (e.g. self-organised criticality, critical transitions, catastrophe theory) Experience in modelling, simulation and analysis of models using various small-scale modelling
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. Qualifications: Minimum of one year post-PhD experience in a research/academic position or industry position working on development of AI-based solutions for heavy industrial machines. Extensive code-base
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on exoplanets. The position will be supervised by Professors David Catling and Joshua Krissansen-Totton. This theory project is funded by the Alfred P. Sloan Foundation and does not depend on federal grants
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theory-focused, the position encourages engagement with experimental partners, including those in industry. The project will support research visits and joint activities with these collaborators
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by Professors David Catling and Joshua Krissansen-Totton. This theory project is funded by the Alfred P. Sloan Foundation and does not depend on federal grants. The postdoctoral associate will work in
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theory, symmetry analysis, and group theory. You will work on developing and applying these ideas to discover new photonic phenomena, implement associated computational tooling, and to find opportunities
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will lead to fundamental advances in human-water systems theory and applied research benefits for local water and land managers. Thus, the ideal candidate would have strong quantitative skills
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing