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will be entirely computational, focusing on the large-scale bioinformatic analysis of proteome data from a wide range of existing species. The research will focus on understanding mutational robustness
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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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environmental stresses, plant growth and development, biotechnology and metabolic engineering, regulation of gene expression, population genetics, genome analysis, and the development of breeding systems. Species
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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