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Are you passionate about using data science and machine learning to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
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the leadership of Principal Investigator Dr Andrew Siemion. Listen's interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning
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are considered advantages: prior experience with water and wastewater networks, including their operation, data, or infrastructure-related research familiarity with machine learning and statistical modelling
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. About the Role The post is funded
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of power and propulsion systems, heat and mass transfer, thermo-fluid systems simulation and programming, as well as exposure to software platforms and algorithms for Artificial Intelligence, Machine
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analysis (Excel, R, Python, Prism etc). D4 Knowledge of applying artificial intelligence and/or machine learning approaches to biological image analysis or data interpretation. Experience Essential E1
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would have a background in machine learning, manufacturing, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research
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experience Desirable criteria Up to date knowledge of machine learning methods applied to clinical or omics data Up to date knowledge in long read methylation methods applied to clinical or omics data
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electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
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their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master