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, Machines and Control (PEMC) Research Institute in the Faculty of Engineering. You will pursue a research plan in heterogeneous integration-based activities regarding power semiconductor bonding, interconnect
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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and experience in developing and implementing machine learning/AI solutions using relevant languages and frameworks Informal enquiries can be made to Dr Hazel Wilkinson, Deputy Director IDAI, email
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Wellcome-funded project exploring the changing authority of medical practices through four case studies: LGBTQ+ health, artificial intelligence, abortion care and the physician associate. The project is
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within the role to pursue an independent research project in the general remit of gene expression and the lab. Candidates with interest or experience in machine learning, artificial intelligence and
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will research novel methods for effectively working with geometry models of large and complex assemblies in HPC environments to support high-fidelity engineering simulations (e.g. FEA and CFD). This post
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will form the major component of this post, participation in associated clinical duties and a small amount of teaching will be incorporated into the role. Main Duties and Responsibilities 1. Implement
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. The post will involve applying a range of spectroscopic techniques to new flow reactor designs developed at the University of Nottingham. The vision of the project is to apply continuous reactors, including
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The above part-time (0.6FTE) role is available on fixed-term basis from November 2025 until the end of June 2027. The post The Faculty of Health and Life Sciences wishes to recruit a Postdoctoral
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comprise both the development of bioinformatics pipelines and the application of novel machine learning methods for interpreting microbiome and host ‘omics data from faecal, intestinal biopsy and saliva