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, machine/deep learning (Pandas, SHAP , TensorFlow, etc.) and specific to image analysis, statistics, simulation, cloud environments (Kubernetes type, Docker-compose, virtualization, etc.), 3D environments
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multivariable statistical methods. Support for skills development is provided within the Horse Microbiome Research Group and the university’s Doctoral College . Delivery of this project in collaboration with
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mathematical concepts such as optimization, linear algebra, probability, and statistics, relevant to AI and quantitative modelling. Technical proficiency in programming66: Demonstrated programming skills with
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. Experience in working with large data sets, knowledge of statistics, and some programming expertise is essential. The project is based in ECEHH, at the University of Exeter’s Penryn Campus in Cornwall, and may
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experience in conducting in vivo tests. Laboratory experience in the collection and processing of biological samples and in vitro tests. Proficiency in statistical data analysis and writing scientific
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, Cascais, Riga, Vilnius, Melsungen, Ciampino, Urla and Rhodes. The PhD project will involve: The use of data analytics (statistical models, machine learning, uncertainty quantification) to monitor and
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the carbon footprint of milk production. The project will apply advanced statistical methods, artificial intelligence, and cutting-edge genetic models to support and enhance management and breeding decision
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informatics, biomedical engineering, statistics, or related fields. The lab is engaged in developing novel deep learning and AI-based technologies for digital biopsies from medical images and real-world
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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relating this knowledge to plant health and sustainable plant protection is required. Previous experience in sampling, sequencing and analysing plant microbiomes, including bioinformatics and statistics as