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invite applications for a postdoctoral position in the group of Axel Ringh at the Division of Applied Mathematics and Statistics, Department of Mathematical Sciences, with focus on computational methods
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-level engineering relevance. We welcome applicants with a PhD in Aerospace Engineering, Mechanical Engineering, Energy Engineering, Applied Physics, or a closely related field. The candidate should have a
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(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines
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mathematics Experience in the design and evaluation of learning with digital teaching materials Expertise in quantitative methods and learning analytics for processing and analysing data generated by users
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working collaboratively. Our focus is on developing practical methods that blend traditional disciplines with modern machine learning and AI technologies to effectively address large-scale problems. About
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methods. The project is deliberately flexible and can be shaped by the candidate’s strengths. Contract terms The position is a temporary full-time employment for two years. The position requires physical
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receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher, you will develop methods to functionalize graphene with a range
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to applied projects linked to societal needs. Key areas include computational mathematics, optimisation, biomathematics, statistics, and data science, supported by an active PhD programme. Our
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. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. In
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ranging from transport and production systems to communication solutions and biomedical engineering. The Biomedical Electromagnetic group focuses on developing new, more effective medical methods and