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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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digital twin collection and analysis of acoustic, mechanical, and anatomical data from toothed whales development and use of computational and analysis code, with or without machine-learning components, in
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high-resolution mass spectrometry, in vitro pharmacological characterisation of new psychoactive substances, as well as metabolomics and machine learning. As a PhD student, you devote most of your time
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spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions
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learning in higher education may undergo such training during the first two years of employment. Academic teacher training shall include doctoral supervisor training. (AR Section 32). The applicant must have
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learning in higher education may undergo such training during the first two years of employment. Academic teacher training shall include doctoral supervisor training. (AR Section 32). The applicant must have
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, micro-CT, particle size analysis, calorimetry, and synchrotron experimental measurement techniques. Knowledge of AI-based and machine-learning methods is also beneficial. For further information about a
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. The successful candidate will also contribute to the development of teaching and learning within the subject area. The research can be based on controlled experiments as well as production data from commercial
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perform both empirical and theoretical work. You will learn how to collect and analyse data within your research area as well as communicate your results at national and international conferences and in