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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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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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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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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
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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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a Wellcome Leap Inc. – ‘Untangling Addiction’ funded project, which aims to develop advanced multi-modal integrative machine learning algorithms to predict the opioid dependence of patients after
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have strong expertise in developing and/or applying machine learning algorithms in Python and associated ML/AI libraries. Educated to MSc level in (Health) Data Science, Bioinformatics, Computer Science