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field experiments, coordinating sample collection, performing data analysis, and preparing scientific publications together with other researchers working in the project. The core dataset for the doctoral
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, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy
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, including excellent skills in programming and high-performance computing Research experience in a relevant field, e.g. functional genomics, transcriptomics, bioinformatics, bioimage analysis, and/or single
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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background in population genetics and you’ve been looking for a project where you can study adaptation and trait architecture in high spatial and genomic resolution? We are seeking two postdoctoral researchers