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analyses within nationally prioritized data-driven life science research projects, using state-of-the-art computational methods Develop and implement necessary tools and workflows for such analyses Educate
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universities. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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radioactivity. Important fields of application are radiotherapy to treat cancer, radiation diagnostics using X-rays, computed tomography, nuclear medicine and magnetic resonance imaging (MRI). We mainly work
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various environmental samples ranging from extinct and ancient animals to consumer food products. These fragments can be detected and analyzed using our specialized wet and dry-lab methods. The objective
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division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas
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aims to address scientific and sectoral gaps in biological imaging from molecular, cellular, and tissue levels to organ and organism levels of organisation. The programme is coordinated by LINXS, Lund
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closely with a co-supervisor at the Division of Material and Computational Mechanics. The NEST-WISE project offers a vibrant collaborative environment and close interaction with academic and industrial
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, concluding with a doctoral degree. Start date: Fall 2025. Project description The doctoral position is part of the national research program the Wallenberg AI, Autonomous Systems and Software Program
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with relevant stakeholders in the surrounding society Swedish and English are used in parallel at the department. The Associate Senior Lecturer should be able to perform most of their tasks in English
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, molecular biology, computer science or related subjects the employer considers of relevance to the position Experience (3+ years) in working with advanced bioinformatics analyses of omics data from high