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Hebei Normal University, School of Mathematical Sciences Position ID: 3581 -PR [#26505] Position Title: Position Type: Postdoctoral Position Location: Shijiazhuang, Hebei 050000, China Subject
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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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research, teaching & administration, which means: You build up an independent research profile in the field of mathematical statistics. You are involved in research projects and scientific studies in
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The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their ideas and work together towards answering the big questions of the future. You also appreciate the...
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, including but not limited to Earth Sciences, Physics, Mathematics and Engineering, together with relevant experience. You will possess sufficient specialist knowledge in either volcanic plume dynamics and/or
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closely with the Department of Mathematics at Aarhus University. In addition, your organic chemistry skills will be instrumental in developing antioxidant artificial cells. These interdisciplinary projects
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master's degree (or equivalent) and PhD in Mathematics/Statistics/Data Science Research expertise in the analysis of complex systems Familiar with network analysis, concepts of resilience (e.g. adaptive
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Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community. The Sonenblum Clinical Research Group in the...
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation