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together a group of leading clinical and non-clinical scientists researching the clinical, genetic, cellular and molecular basis of endocrine diseases. Key strengths include close collaboration between
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friction welds. Work here includes the characterization of production machines using additional instrumentation, the simulation of the process using several numerical methods, and the development
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Infectious Disease Epidemiology & Dynamics department at LSHTM to work on polio eradication. This role utilises global surveillance data for polio to inform understanding of the status of eradication and
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dynamic and collaborative team, you will play a critical role in advancing state-of-the-art quantum sensor technologies and their integration into impactful applications. About You The ideal candidate will
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medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts
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(e.g. plant genetics, plant reproductive biology, plant molecular biology). Experience Demonstrable prior experience in one or more of the following research techniques would be an advantage: Functional
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publications in the area of chosen interest. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document
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instance. Further funding to support the post may be available. About you Applicants must have a rigorous foundation in heat transport phenomena, proven proficiency in computational fluid dynamics (CFD
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the group and consider how they may contribute. The following are active areas of research in MAS for Thermofluids and Materials: Failure and degradation process simulation for transmission components and
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Health Medicines R&D to facilitate the discovery and development of new drugs for invasive fungal diseases. Together, the MRC CMM, DDU and GSK GHM form a dynamic and multidisciplinary group that covers all