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Field
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experience in mathematically rigorous statistical field theory, for example, topics involving constructive quantum field theory, renormalization group theory, conformal field theory, or analysis of near
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, Mathematics, Physics, or a closely related field. Proficiency in machine learning libraries (e.g, scikit-learn, PyTorch, and transformers) and data analysis tools (e.g., pandas, NumPy, and CuPy). Hands
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics to work on rigorous mathematical analysis of geophysical fluid equations
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applicant will work closely with industry sponsors who will help to guide the project. The Elbert lab and the industry partner are interested in developing mechanistic, predictive models of neurodegenerative
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Abu Dhabi utilizes the concepts of molecular/ionic recognition coupled to self-assembly for the fabrication of multi-functional materials. The Post-Doc will execute a research project targeted for
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, Mathematics, Physics, or a closely related field. Proficiency in machine learning libraries (e.g, scikit-learn, PyTorch, and transformers) and data analysis tools (e.g., pandas, NumPy, and CuPy). Hands
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In this role, you will be responsible
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for targeted exosome analysis which can also be applied to other volume-limited samples. This position is part of the EU-funded DRAGON project, which brings together biomedical and clinical partners from Italy
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calculations, data analysis, and experiment design. -On the mathematical side, the group designs neuro-symbolic techniques to automate theoretical physics calculations, integrating AI agents with physics
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novel mathematical approaches for mapping between distinct embedding spaces Supervise and mentor the PhD student Coordinate technical integration across multiple work packages Drive innovation in low