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the assessment criteria: A good ability to develop and conduct high quality research. Teaching skills. Other qualifications: Experience from computational fluid dynamics (CFD) modeling, preferable in openFOAM
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. The department has a comprehensive doctoral programme and coordinates three international Master’s programmes. It enjoys a well-established reputation for its broad research profile, with an emphasis on long-term
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep
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cells and extracellular vesicles. The research is performed in laboratories both at the Engineering faculty and at the Biomedical Centre at Lund University. More about our research group - bme.lth.se
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of genomic sequences. Despite the growing availability of high-throughput genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based
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+ communities based in or rooted in Southern Europe. Collect and analyze high-quality data, both on digital platforms and offline. Develop your own research questions within the framework of the project
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-reported dietary data with objective biomarkers to improve exposure assessment and help explain why some individuals develop disease while others remain healthy despite high sugar consumption. You will join
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emphasis will be placed on demonstrated skills within the subject area. For postdoctoral appointments, the following shall form the basis for assessment: Proven ability to develop and conduct high-quality
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in Sweden, and you are therefore expected to perform your duties on-site in Lund. The position is limited to a minimum of two years and a maximum of three years in accordance with the collective
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handling of primary patient samples. Qualifications Requirements for employment are: - PhD in cancer research or stem cell biology - Research experience in genetics - Good analytical skills, high motivation