22 phd-in-mathematical-modelling-population Postdoctoral positions at University of Cambridge
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University of Cambridge, Department of Pure Mathematics and Mathematical Statistics Position ID: CambUK -RESEARCHASSOCIATE [#26302] Position Title: Position Type: Postdoctoral Position Location
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atmospheric science, computational mathematics and physics. Experience with the Unified Model or atmospheric modelling is highly desirable but not essential. Experience with radiative transfer models
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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A position exists for a Post Doctoral Research Associate in Department of Applied Mathematics and Theoretical Physics to work on the theory and implementation of algorithms and protocols on quantum
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robots. They will be working with a team composed of PhD students, Research Assistants and Postdocs that is developing novel multi-robot architectures for practical, real-world settings. Current solutions
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occasionally present their results. Applicants should have (or about to obtain) a PhD in Chemistry, Materials Science, or related discipline. A strong proven track-record of publication in relevant fields is
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/ ). Your tasks will include data collection, analysis, write-up, and dissemination of ongoing and future research. Furthermore, you will play a crucial role in supporting and training PhD students and other
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the development and building of a new apparatus for the continuous production of NaPF6 (the key electrolyte in sodium-ion batteries). Candidates must have (or be about to obtain) a PhD in inorganic chemistry and
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. Applicants should have (or be about to obtain) a PhD in chemistry with expertise in the synthesis of conjugated small molecule and/or polymers. Key skills that are required are the ability to work on multiple
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modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome