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form. A background check may be conducted as part of the application process. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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the development, training, and validation of computer vision models is comfortable working in multidisciplinary research environments, where methods are applied to biological or real-world problems Qualifications
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studies of human tissue and several in-vitro models. The group has for many years been at the forefront of the field and has established collaborations with several international research groups. The group
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AI-driven analyses, and patient-oriented research, WHOLE aims to generate new knowledge, diagnostic innovations, and more equitable models of care in close collaboration with patients and healthcare
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Computer Vision algorithms. Experience using urban building stock modelling and urban digital twins What you will do: Design & Develop: Create data structures for detailed, spatialised construction component
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We are seeking a postdoc to co-design efficient and realistic simulation algorithms for noisy quantum circuits in superconducting hardware, combining quantum modeling with hardware-aware performance
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that are differentially expressed in genome-sequenced marine model bacteria and natural marine bacterial assemblages. Analyses will involve state-of-the-art techniques in microbial ecology and molecular biology (e.g. gene
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tumor progression The project combines experimental model systems, patient material, metabolic and mitochondrial analyses, antiviral strategies, and AI-based drug discovery. Key Goals of the Project
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more on the university’s website about working at Lund University: Work with us. Duties and responsibilities The candidate will use human mesenchymal cells to create human in vitro and in vivo models