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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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the prevalence and risk of modern slavery. There will be a focus on Bayesian nonparametric methods and practical development of MCMC algorithms that can be applied to data. Translating the project findings
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Complexity of Graph Algorithms (GraphCom)”. The post is based within the Theory of Computation group of the School of Computer Science at The University of Birmingham, under the supervision of Dr. Sagnik
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and refine algorithms and models for large-scale language processing tasks, with a focus on healthcare data Contribute to developing new models, techniques and methods for clinical machine learning
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experience in modelling and developing quantum inertial sensors Ability to programme in Matlab is desirable Experience working with sensor fusion algorithms is desirable High level analytical capability
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development of mathematical models and algorithms for the analysis of biopharmaceutical manufacturing processes with a focus on assuring safety and alignment of machine learning models with the expected
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. Tariq Iqbal (Birmingham). Their role will comprise both the development of bioinformatics pipelines and the application of novel machine learning methods for interpreting microbiome and host ‘omics data
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modelling for the analysis of biochemical processes. In this role, you will develop mathematical models and algorithms for the analysis of biopharmaceutical manufacturing processes with a focus on formal