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AI and computational approaches to study the genetics of chicken phenotypes. Using various forms of omics and imaging data they will train machine learning models to predict important phenotypes and
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related to testing electrical machines, drives and materials are required. The PEMC research group has grown exponentially and now has over 200 members, 24 academics and circa 130 PhD students, researchers
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experience in electrical machine design is required.? Candidates should hold or be shortly due to obtain a PhD, or equivalent in Electrical Engineering related to work on Power Electronic Converters or a very
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Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving) project. The D-XPERT project represents a
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machine learning, bioinformatics, sequencing and microbiology. This role is available on a fixed term basis until 31st May 2027. Hours of work are full time (36.25 hours). Job share arrangements may be
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/6GIC), is looking to recruit a Research Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving
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the power of machine learning, you will explore the interplay between metabolomic and proteomic data and depression to transform our understanding of this pervasive disorder. Based at King’s College London, a
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collaboration between computational researchers with excellent technical skills in AI and machine learning, and environmental researchers with strong knowledge of application domains including climate change
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optimisation and machine learning code, understand transportation modelling approaches, read and digest literature on the topic and write academic papers. Essential requirements: PhD or equivalent qualification
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in Python, experience of machine learning with scikit-learn and the ability to work collaboratively. This position is ideal for someone who has recently or is about to finish their PhD and is