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transform our understanding 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
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. Candidates are further expected to have experience in processing and analyzing high-throughput genomic sequencing data and in statistical analysis. Previous experience with Drosophila melanogaster or other
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, and will apply deep learning to integrate the analysis flows. The PhD student will develop the method and apply to numerous in-house samples of environmental sequences, pushing the boundaries of RNA
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disorders/addiction, particularly relevant is experience regarding stress models and operant self-administration. Have special knowledge in behavior analysis (using software programs such as EthoVision), and
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previous experience with e-graphs, or is familiar with theory and algorithms used by, for example, proof assistants, term rewriting systems, optimizing compilers, program analysis tools, constraint solvers
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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 it may