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working with the theories and method of linguistic anthropology Knowledge of ethnographic methods Research on language and gender Experience with collaborative and public-facing research projects Additional
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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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-disciplines, such as political theory, comparative politics, international politics, or public policy and administration (or a combination of different sub-disciplines). The postdoctoral position offers
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areas: calculus of variations optimal transport theory theoretical aspects of machine learning Restrictions: During the period of employment, the employee cannot receive remuneration under another
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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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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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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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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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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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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