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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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biologist to decipher the genomic regulatory code controlling gene expression in plants. Within the ERC-funded multiCODE project, we aim to unravel how plants control gene expression across different tissues
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construction of proteins that transfer electrons (i.e., oxidoreductases). It is expected that the Postdoctoral Associate will have expertise in several of the following areas including bioinformatics
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Qualifications: Candidates should have a PhD in computer science, physics, bioinformatics or a related field, and an interest in biology. Additional Qualifications: Previous research experience related to biology
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and flowering time, are underpinned by similar genetic mechanisms in distantly related plant species. The candidate will compare population-level genomic data from different Arctic taxa, conduct
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if: You hold a PhD in biomedical science or have equivalent experience, with expertise in molecular microbiology, statistics and bioinformatics. You may also: Have experience with cell culture
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flexibility for weekend/evening hours as required for experiment needs. Qualifications Minimum Qualifications: Ph.D. degree in Computer Science, Bioinformatics, Computational Biology, or a related field
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics of squamate reptiles; the largest group
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(where possible) in BioModels and other repositories Generation of synthetic data to represent rare disease patients that can be shared You have A PhD in bioinformatics, physics, or a related data