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microchannels. The research is closely linked to the research at the medical faculty within both biomedical research and clinical needs, with the goal to develop new technology to sort, manipulate and analyse
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processes and the use of economic theory and quantitative methods as key analytical tools. Major research areas include economic growth and structural change, innovation, energy and sustainability
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learning–based protein design, for the successful design of 2D lattices. These methods will then be applied to generate designs targeted for experimental evaluation. Work duties The main duties involved in a
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health and advanced biomedical technology. Ability to work independently and in interdisciplinary environments. Documented experience of conducting empirical research in the form of survey or interview
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sugar consumption. The group is led by Associate Professor Emily Sonestedt and currently consists of three researchers and one PhD student. The research activities are based at the Clinical Research
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more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students. On the international level we collaborate with universities and institutes in Europe, Asia, and
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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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for cancer. The Division comprises nine research groups with a total of ~60 researchers and constitute a collaborative and inclusive research environment. In our research group, we apply large-scale sequencing
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carried out in close collaboration with healthcare services, which includes handling patient samples. The research group consists of the principal investigator (Meliha Kapetanovic), two PhD students, three