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Field
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. Tasks: Estimate genetic correlations, polygenic risk scores, prediction of causal genes, prediction of differential expression in brain, and construction of gene networks. Bioinformatic analyses will be
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structural bioinformatics, machine learning, and high-performance computing, we will build the first Human Proteome-Wide Frustration Atlas — a resource to better classify genetic Single Nucleotide Variants
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bioinformatics such as Python, R, EdgeR, Cytoscape, ggtree, etc., as well as courses in data visualization and web development will be considered. At least 2 publications as first author and more than half a dozen
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selected candidate will perform bioinformatics analyses related to the single-cell transcriptomic data obtained in objective 1.1 of the project. The objective is to apply new analytical tools to identify
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degree in Science/Equivalent + Official Master's Degree in Data Science or Bioinformatics/Equivalent (Proof must be provided with the application) FUNCTIONS Management and handling of data collected with
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healthcare. Required qualifications: MSc or PhD in Computer Engineering, Computer Science, Bioinformatics, or a related field Strong technical background in one or more of the following areas: artificial
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sequences, networks, trajectories, images, etc. - Design, programming, optimization, and parallelization of machine learning algorithms. - Search in repositories and bioinformatics of DNA sequences
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biology and bioinformatics, as well as in Machine Learning (including Large Language Models). Good understanding of evolutionary and molecular biology concepts, and good statistical (data analysis) and
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» OtherEducation LevelMaster Degree or equivalent Skills/Qualifications Candidates must hold one of the following degrees: Bachelor in Biological or Computational sciences a) A Master’s in Bioinformatics or
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GHG emissions. Lab measurements of soil C and soil aggregates and microbial community assessment, including bioinformatics. To perform literature review, data collection and management, involving