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Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab. The project aims to integrate multi-scale neuro-genomic and imaging datasets across brain regions, cell types and developmental
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Training in statistical modelling and inference. Experience of working with large
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We invite applications for the position of Postdoctoral Research Associate in Machine Learning/Machine Learning Scientist to join the Deep Medicine programme at the Nuffield Department of Women’s
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genomics/transcriptomics, computational biology and machine learning. The overarching aim of the project is to develop strategies to treat patients with rare genetic disorders at scale. Duties will include
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statistical/computational genomics, machine learning, computer science, bioinformatics, epidemiology, or related field with relevant experience. You will have excellent communication skills, including
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or Machine Learning. The University of Oxford, supported by funding from Google DeepMind, has created a three-year postdoctoral role in AI or ML that will focus on an independent research agenda and also have
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in the area of dynamic system modelling with knowledge of signal processing and machine learning as all three areas are essential to achieve the aims. You should have a proven track record in at least
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integrative strategies for a diverse set of omics data (metabolomics), integrating the outcomes to investigate complex disease in a multi-omics framework Apply statistical and machine learning and deep learning
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meetings across the EU, perform R&D in the field of machine learning for plant species classification and support the implementation of the project application development. About You Applicants must have a
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-funded project led by Dr. Jagmohan Chauhan in an exciting area of embedded machine learning. The post will be based at the University of Southampton. You will be working with Dr. Jagmohan Chauhan (PI), a