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and data-driven manufacturing. We are seeking a highly motivated Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton
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the group of Dr Yasir Noori. In this role, you will work at the interface of machine learning and semiconductor engineering, developing models that predict post-fabrication device characteristics from process
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Our Post and Portering team are responsible for several tasks that contribute to the smooth running of the University. We operate the post room, goods in, delivery services, Portering and
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, they will provide some support to studies focused on preventing food allergy and managing acute severe childhood asthma. The post will provide practical training for a middle grade doctor in the conduct
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would have a background in machine learning, manufacturing, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research
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particular the role of the asthma gene ADAM33 in development of asthma using in vivo and in vitro asthma research models. The posts will be full-time for up to 10 months, funded by a MRC-DPFS grant. Candidates
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Zamora-Gutierrez (https://www.southampton.ac.uk/people/65cf7s/doctor-veronica-zamora-gutierrez ). The position is fixed for 36 months (3 years). The postholder will lead research on bat ecology and the
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and experimental systems to make energised artificial lipid bilayer membranes compatible with high resolution optical microscopy for the study of single molecular motors. The post is funded by
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candidate will be responsible for accurate and efficient data generation, data management, collation and the reporting of results to the project lead. The post-holder will need to demonstrate excellent
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cell mechanisms, oversee preclinical validation, and advance CAR-iNKT platforms optimised for AML immunotherapy. The role bridges basic and translational research and suits a creative scientist with