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to 31 March 2027. The successful applicant will carry out experimental and computational work related to this project. The post will include the following duties: To undertake research, to act as research
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Licence (or equivalent in home country) Experience of using in vivo mouse models to assess immune responses High level analytical capability Ability to communicate complex information clearly Ability
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imaging and immunological datasets Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and
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. Hands-on expertise with microcontrollers (e.g. Arduino, STM32), embedded C/C++, and firmware development. Familiarity with BMS development or experience with other complex control systems such as motor
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the Department of Inflammation and Ageing at the University of Birmingham. The successful candidate will work to deliver high level computational analysis of immune cell subsets in patients with cutaneous lupus
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funding Contribute to public understanding of issues impacting families and children with complex and interconnected needs Main Duties The responsibilities may include some but not all
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Research Hub. Funded by the Higher Education Authority of Ireland, SLSS is an ambitious programme of activity. It brings together two academic institutions (University of Limerick and Queen’s University
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Research Hub. Funded by the Higher Education Authority of Ireland, SLSS is an ambitious programme of activity. It brings together two academic institutions (University of Limerick and Queen’s University