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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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frameworks and transformer architectures applied to biological sequences would be advantageous. You should have a PhD in bioinformatics, evolutionary biology, machine learning or similar. The post fixed term
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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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, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the Maritime Future Fuels Training Plan project, which aims
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, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the Maritime Future Fuels Training Plan project, which aims
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) a PhD in a quantitative discipline such as computer science, mathematics, statistics, engineering, or a related field. Strong programming skills and experience in machine learning or statistical
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Domingos Group within DPAG. The successful candidate will hold, or be nearing completion of, a PhD/DPhil in Genomics, Molecular Genetics, Neuroscience, Immunology, or a closely related field. Experience in
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the stability and reliability of these materials in optoelectronic devices. The post-holder will have the opportunity to teach. Applicants should possess or be close to obtaining a PhD in physics, materials
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We are seeking a highly talented and experienced Postdoctoral Researcher to join a research team led by Prof Chris Summerfield focussed on studying learning and decision-making in humans and machine
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no.: 4860 Among the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as