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assimilation system is a good advantage. Prior knowledge and experience in satellite observation, pre-processing, quality control, error modelling and correction are an advantage. Good programming experience is
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will help to increase university engagement with industry that facilitate tech transfer that benefited university and industry. The role will focus on data curation, AI model training, edge-AI deployment
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Develop theoretical models of topological materials to understand & interpret experimental data Leverage nanofabrication facilities & collaborate with other leading research groups at the School
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, including environmental biosensing and green energy generation. Key Responsibilities: Investigate the responses of model microbial platforms to different metal species. Design and construct abiotic–biotic
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modelling or simulation would be an advantage. Strong analytical and data visualisation skills, with the ability to interpret and present complex technical results clearly. Ability to work independently
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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experimental methods. High-level expertise in the required experiment or modelling methods. Ability to initiate collaboration research in multidisciplinary team. Oversee and report project progress. Ability and
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focused on neural tissue engineering, in vivo spinal cord injury (SCI) models, and regenerative biomaterials. Responsibilities: Plan and conduct in vivo experiments using rat SCI models Conduct
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, including Structure Equation Modelling, using software programs (e.g., SPSS and EQS) Conduct qualitative analysis using software programs (e.g., NVivo) Prepare reports, publications and presentation materials
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graded Lie algebras, type-theoretic models of the local Langlands correspondence, the Aubert-Zelevinsky involution, and arithmetic applications through Arthur packets and the Gan-Gross-Prasad conjectures