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Element Method (DEM), to analyse and predict pharmaceutical tablet disintegration. The goal is to construct robust, physics-based simulations that deepen the understanding of the underlying processes and
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partners. The post holder will be responsible for developing and implementing mechanistic models, primarily using the Discrete Element Method (DEM), to analyse and predict pharmaceutical tablet
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consortium of academic and industry partners. The post holder will be responsible for developing and implementing mechanistic models, primarily using the Discrete Element Method (DEM), to analyse and predict
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in the development, validation, and optimization of 3D-printed Ship Hull and Connector System. This includes conducting finite element modeling, ship resistance and stability assessments, as
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London Institute for Mathematical Sciences, Research Position ID: London Institute for Mathematical Sciences-Research-POSTDOC [#28989] Position Title: Position Type: Postdoctoral Position Location
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authoritative practical knowledge and experience in acoustics and/or vibration, supported by detailed understanding. Basic understanding and knowledge of numerical modelling using the Finite Element Method
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knowledge of numerical modelling using the Finite Element Method/Boundary Element Method. Excellent communication and teamwork skills. Informal enquiries can be made to Dr Felix Langfeldt: F.Langfeldt
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induced pluripotent stem cell (iPSC)-derived organoids and brain tissues. The postdoc will be responsible for processing and analysing multiple different data types, with a particular focus on spatial
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to Support the Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit
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the guidelines at: https://aas.org/jobregister/postdoc-application-guidelines . About Queen Mary School of Mathematical Sciences The School of Mathematical Science has an exceptionally strong research presence