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the following fields: mathematics, physics, computational science, or engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge
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range of... Read more Type of employment Temporary position Extent 100% Department Department of Computing Science Show description The Department of Computing Science seeks a postdoctoral
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departmental duties, up to a maximum of 20% of full-time. Your qualifications You have a Master’s degree in electrical engineering, engineering physics, computer science, applied mathematics or have completed
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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
tailored to individuals with similar molecular susceptibility patterns and responses to preventive treatments and actions. The area of research encompasses advanced computational methods based on multimodal
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research activities in stormwater management. The research is both theoretical and experimental with elements of computational technology and mathematical modelling and is based on close collaboration with
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science. We are looking for a candidate with a PhD in either engineering/computer science/physics/mathematics. Experience with ML implementation (ideally interpretable ML and/or generative AI) is required
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must have taken relevant higher education pedagogical courses. Requirements: Doctorate in computer science, mathematics, or similar. Strong command of both written and spoken English language
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, connecting with research groups in mathematics and computer science at Lund University. These cross-disciplinary partnerships will provide a rich environment for exchanging ideas and advancing innovative
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory