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molecules and solids. This work involves data-driven analysis of electronic structure calculations to reduce computational time. The modeling of large systems will also include development of specialised
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Professor Emma Ahlqvist, you will conduct research focused on cardiovascular disease and precision medicine in type 2 diabetes. We will use statistical and genetic approaches to analyze data from large
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develops over time, and how this development is affected by lack of mechanical stimulation, using a large animal model. The technical goal includes to develop, perform and analyse data from high resolution
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project focuses on: Integrating molecular data at various levels to build in-silico models of iron metabolism in simple and complex organisms. Utilizing large datasets generated from 'omics' studies
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of large bandgap semiconductors has been at the international forefront. More information can be found at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor-bandgap-key
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the operation of large, complex scientific facilities. You are able to communicate fluently and effectively in English, both in speaking and writing. This includes comprehensive note-taking on technical and
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Research Council, the Swedish Cancer Society, and the Swedish Childhood Cancer Fund, among others. It aims to generate and analyze large-scale datasets from spatial single-cell transcriptomics and multiplex
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applying for major research grants, particularly at the European level. We also require support in identifying and securing large-scale funding to establish national competence centres and graduate schools
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experiments Documented expertise in data analysis using scripting (ideally python-based) Experience carrying out SAXS/WAXS experiments at large scale facilities Working experience with soft matter and/or
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: researchers, teachers, technical/administrative staff, and Ph.D. candidates. The department has a large PhD programme and co-ordinates three international Master programmes. The Department has a well