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. Research will have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or
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analysis. Depending on the interests of the PhD student, there will be opportunities to incorporate isotope tracing, multivariate trait analysis, and evolutionary or phylogenetic approaches. The project is
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(see below) are also encouraged to apply. Proficient in at least one programming language, preferably Python or R. Experience in any of the following areas: large scale sequence analysis, microbial
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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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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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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
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sciences; Have experience in programming and/or quantitative data analysis; A keen interest in working across scientific disciplines, including physics, chemistry and biology; Excellent interpersonal and
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constraints such as sensitive devices running in a medical environment could be considered. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms, vulnerability
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, among other things, how the production of cement-based materials is affected by electrified processes that reduce carbon dioxide emissions, how trace elements such as rare earth metals are bound in