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multidisciplinary research group focusing on breast and prostate cancer. The group consists of three senior researchers, three associate researchers, one biomedical scientist, as well as PhD students and master’s
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includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity
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by The Kempe Foundations. Project description Machine learning and artificial intelligence have had a major impact on medical image analysis in recent years. While CT and MRI provide highly
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research is conducted in co-operation with other universities/institutes and/or industry. Presently, our group consists of 1 Professor, 1 permanent researcher, 5 Postdocs and 8 PhD students. About the
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intelligence - Data-driven and learning-based control - Decentralized decision-making and distributed optimization - Belief-space and uncertainty-aware planning - Neuro-symbolic and context-aware reasoning
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wet-lab researchers, clinicians, and computational scientists contributing to manuscripts, grant applications, and scientific presentations supervising MSc and PhD student projects Entry requirements We
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co-operation with other universities/institutes and/or industry. Presently, our group consists of 1 Professor, 1 permanent researcher, 5 Postdocs and 8 PhD students. About the research project You will
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other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. This project is established in collaboration between LTU and
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Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
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the research group, including on climate goals and advisory services in the dairy sector. Teaching students may be included in the work tasks, up to a maximum of 20% of the position. Your profile A PhD in