13 post-doc-machine-learning Fellowship positions at The University of Southampton in Uk
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candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods for engineering and will use this experience in collaboration with
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antennas to immediately transmit the information to a medical doctor when urgent action is required. However, such batteries need to be completely safe and non-toxic, as well as energy dense and lightweight
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holder’s collaborators in Germany and in the US. Further information on the grant holder is available at: https://www.southampton.ac.uk/people/628nx8/doctor-bismark-singh . Informal enquiries may be made
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implementing bioinformatics pipelines from raw data, applying a range of advanced statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing
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with physical objects/environments, and audio rather than video based AR can help enhance memory/learning Humanizing Computer Mediated Communication: Synthesizing co-presence - What does it mean to feel
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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
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-health intervention for young people with acne (Acne Care Online ). The post is available under the supervision of Professor Miriam Santer and Dr Rosie Essery in close collaboration with colleagues in
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. This post is a fixed term with a possibility to extend the position beyond the end of the current contract duration. Your application will be treated in the strictest confidence. For informal inquiries about
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We are seeking a Post-doctoral Research Fellow to work on the TAILWIND project, based at the University of Southampton, on a fixed-term contract of up to 18 months. The Research Fellow will support
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to discuss the post are welcome to contact Dr Euan Sadler (E.A.Sadler@soton.ac.uk ) or Dr Katherine Bradbury (kjb1e08@soton.ac.uk ) Interviews will take place via Teams. The position is tenable from 1st