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, and is financed by SciLifeLab and the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). Work tasks and
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knowledge of C++ in relation to scientific software. You have acquired one of the two following skill sets (both is a strong merit): Previously conducted implementations of algorithms and simulations using
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environmental exposure data, including the use of software such as Stata and SPSS Experience independently leading and publishing literature reviews Documented knowledge and experience in qualitative research
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–time modelling in GIS and/or statistical software (e.g. R) to visualize and analyze the spread and control of diseases in colonial Africa. The fellows will work closely with the PI and other project
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NextG2Com – a Vinnova Competence Center coordinated by Lund University. NextG2Com focuses on next-generation advanced communication systems that integrate wireless communication, networking, software, data