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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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orchestration, while leveraging new technologies such as integrated sensing and communication (ISAC). These initiatives bring together leading academic, industrial, and public-sector partners to develop
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subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website . (https://kemi.uu.se/angstrom/?languageId=1 ). Work duties The
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at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data
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the legitimacy and acceptance of ambitious climate and energy policies? A central part of the research will involve surveys and survey experiments, providing opportunities to develop and test new theoretical
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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specialized developmental cycle and its obligate intracellular lifestyle that depends on precise modulation of host cell pathways. Key knowledge gaps concern how C. trachomatis maintains its intracellular niche
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. They represent an analytical challenge since they are present in small concentrations in systemic circulation and because of their volatility, which can easily cause contamination. We have developed a quantitative
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in academic conferences, experience from scientific publishing and other personal and professional development. The project will be carried out at Luleå University of Technology’s campus in Luleå