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traits – and link these traits to epigenomic variation profiled via whole genome bisulfite sequencing. The candidate will also have the opportunity to explore advanced pangenome-based methods to probe
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functional properties of protein-based materials. In this position, you will develop methods for the recombinant production of post-translationally modified structural proteins, investigate their effects
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the entire population. The project utilises advanced statistical methods such as multilevel models (mixed models), fixed-effects models, cluster analysis, and sequence analysis. The selected researcher is
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a doctoral degree in demography, public health/epidemiology, statistical sociology, statistics, population genetics or other relevant field, have strong quantitative methods skills and an excellent
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to polarization. Leveraging network science, NLP, behavioral sensing, and causal inference, the project pioneers new methods for detecting and mitigating online harms. Its results aim to inform public health
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advantage Prerequisites for the position include thorough working methods, team player attitude, and the ability to work with good level of independence Excellent communication skills in English, both written
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: Strong programming skills in R for data analysis and visualization, and proficient in Unix command line environments for data processing Single-cell omics Methods to study chromatin interactions such as Hi
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for green hydrogen continues to rise, the high energy demands associated with conventional methods like electrolysis highlight the need for alternative approaches. Photocatalysis, leveraging solar energy for
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POSTDOCTORAL RESEARCHER POSITION IN ECOLOGICAL STATISTICS We are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based
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utopia, we aim at developing literary theory’s frameworks and methods in order to bring Eastern-European literary traditions into the world-literary discussion. The project is hosted at the Faculty