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, robotics, machine learning, and human-robot interaction. Subject area The subject area for this position is Computer Science. Background The focus of the project is artificial intelligence (AI) and its
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, and research interns, and will expand with additional postdocs and PhD students early 2026. The laboratory is physically located at Kemicentrum in Lund and is also part of the vibrant NanoLund
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interns, and will expand with additional postdocs and PhD students early 2026. The laboratory is physically located at Kemicentrum in Lund and is also part of the vibrant NanoLund environment, which brings
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semiconductor characterization teams within NanoLund. The Saragovi Lab currently includes several master’s students, and research interns, and will expand with additional postdocs and PhD students early 2026
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, regression models or machine learning. Applicants from clinical hepatology with experience in the above fields can also be interesting. You will work in an interdisciplinary and international research
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HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
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methods to rigorously assess the safety and effectiveness of medications in real-world patient populations. Defining individualized treatment strategies: Leveraging traditional and causal machine learning
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groups working towards a common goal. For this postdoc project, we seek a dynamic and motivated candidate with an interest in computational electromagnetism, inverse design, and/or machine learning in
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statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity, be process-oriented and able to work independently. Being able
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measurements from real projects, statistically analyse them, and conduct experiments with modern machine learning techniques and generative AI. A strong background in software engineering as well as some