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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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the performance of the above model and sensor fusion algorithm when considering different sensor parameters and configurations Work within specified research grants and projects Operate within area of specialism
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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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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
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and sequence analysis. Good programming skills (e.g. R, Python, C/C++). Knowledge of basic statistics and application in R or similar. Experience with machine learning algorithms and ideally experience