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Programming skills Good at interacting with people, communicating, and working as part of an international team Self-organised, able to conduct independent learning Presentation skills (evidence of
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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computational methods, and inn collaboration with permanent academics, help to mentor students undertaking masters projects and internships in the research team. The post-holder will have the opportunity to teach
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This position is for a Postdoctoral Research Associate on the EPSRC New Investigator Award `Accelerating Laboratory Automation Through Learning Tool Morphology For Robotic Chemists¿, a project
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This position is for a Postdoctoral Research Associate on the EPSRC New Investigator Award ‘Accelerating Laboratory Automation Through Learning Tool Morphology For Robotic Chemists’, a project
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background in mathematics, statistics, population genetics, phylogenetics, epidemiological modelling, or machine learning. Highly motivated candidates with some, but not all, of the skills requested will be
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Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research
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our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic
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learning for medical images Experience working with data from multiple hospitals An interest in rare disease research. Additional information Informal enquiries are welcome and should be made to Dr Zhanhan