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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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resources. Integration of regularly updated databases, public and private variant prioritization tools using machine-learning methods, bioinformatics predictors of intronic/UTR variant damage, gene panels
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points) Development of bioinformatics tools for biological image analysis (5 points) Programming skills (5 points) Ability to work independently and remotely (5 points) Experience in computational analysis
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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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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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LevelBachelor Degree or equivalent Specific Requirements Profile Academic Qualification: University Degree in Bioinformatics. Experience of a minimum of six (6) months, demonstrable in placements (internships
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Requirements Research FieldCriminologyEducation LevelBachelor Degree or equivalent Specific Requirements Profile Academic Qualification: University Degree in Bioinformatics. Experience of a minimum of six (6
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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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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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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