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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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, where AI models are trained without having all data in a single computer. This makes it possible to use larger datasets for training, without sending sensitive data between hospitals. The goal is to
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, your work will explore key aspects of telomere dysfunction, including DNA end processing, chromatin dynamics, and repair outcomes. The research will be experimental character, including cell culture
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application! We are looking for a PhD student in Medical Science Your work assignments The project investigates how grief is processed in the brain, how self-related behaviors are affected during periods
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different backgrounds. This position requires that you have graduated at Master’s level in in computer science, media technology, computer engineering, human-computer interaction, visual learning and
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. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at Master’s level in Mathematics, Computer/Data
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workplace The position is formally based at the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science . At STIMA we conduct research and education in
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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. Application procedure Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than 10 Mars 2026. Applications and documents received after the date
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employment benefits at Linköping University is available here. Union representatives Information about union representatives, see Help for applicants . Application procedure Apply for the position by clicking