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application! We invite applications for a fully funded PhD student position to join the research group of Jan Glaubitz to work on Bayesian Computational Mathematics for reliable and trustworthy uncertainty
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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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application! We are looking for a research engineer within the Division of Statistics and Machine Learning (STIMA) at the Department of Computer and Information Science. In this position, you will have the
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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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application! The position Linköping University has a new cybersecurity lab that includes both a computer room for students and a server environment that can be used to simulate different scenarios related
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2026 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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Chemistry » Computational chemistry Physics » Applied physics Researcher Profile Recognised Researcher (R2) Positions Other Positions Country Sweden Application Deadline 20 Jan 2026 - 23:31 (Europe/Stockholm
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cyber-physical systems (CPS). ESLAB’s work spans advanced system design, dependable computing, and emerging applications in autonomous and safety-critical domains. As an associate professor in Cyber
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. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning - constitute fundamental scientific domains that act as
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include teaching or other departmental duties, up to a maximum of 20% of full-time. Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied