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they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale
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student who will work experimentally with microbial and human DNA sequencing, including associated analyses using standard bioinformatics methods. The project will also involve statistical analysis in R
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, genetic manipulations, analysis of genomic rearrangements, telomere assays, and RNA sequencing. The activities include literature review, lab working and computational bioinformatics analysis. Your
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of pathogens, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modelling of pathogen
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, we pose three specific research questions: What salient elements in cognitive models represent family forest owners’ perceptions and judgement strategies about forest biodiversity on their ownerships
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should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
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numerical analysis, computational fluid dynamics, and uncertainty quantification with diverse applications. Our group maintains active collaborations with other divisions at Linköping University and broader
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engineering physics, electrical engineering, data analysis, computer science, applied mathematics or in a similar field, or have completed at least 240 credits in higher education, with at least 60 credits at
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should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
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analyses and document analysis. Depending on the sub-projects chosen, the research may also combine interviews with quantitative analysis. The doctoral student will become part of a leading research