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education to enable regions to expand quickly and sustainably. In fact, the future is made here. About the project Con-TEki investigates the role of transposable elements (TEs) as drivers of regulatory
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microscopy (EM), electron tomography and image analysis, in medical, biological, chemical, biochemical and physical research areas. You will be involved in teaching methodology courses at postgraduate level
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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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. The project employs several techniques including fluorescence microscopy, electron microscopy, and advanced image data analysis. Duties Establishment of plasma membrane model systems and studies of replication
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simulation of buildings with software such as EnergyPlus and/or City Energy Analysis. Good knowledge of English, both spoken and written, as well as a very good ability to write scientific publications is a
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Traditional "bulk" analysis provides an average view of microbial populations, often masking the individual cell behaviors such as antibiotic persistence or rare virulence triggers that drive infection and
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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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scientific community. Design research projects that are hypothesis-driven and contain a clear experimental component, preferably using quantitative methods, and ideally integrating both experimental and
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of Chemistry during the period from 2026-03-02 to 2027-02-25 within the framework of the project "Analysis and fractionation of biomass". You are welcome to apply by 2026-02-04. Project description The project
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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