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and Data Science - Previous experience in Data Analysis and Integration, and in Information Visualization is a plus EVALUATION CRITERIA The selection will be based on the following criteria: 70% - CV 30
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developing statistical and machine learning approaches for the integration of cancer multi-omics data and the analysis of CRISPR-based screens. Responsibilities include designing bioinformatics workflows
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given to successful candidates with suitable scientific and professional curriculum such as - experience in scientific programming and in biological signal analysis, substantiated by publications and
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factors: Experience with program analysis tools. Strong programming skills required in JavaScript and Python. Proficiency in English. EVALUATION CRITERIA The evaluation takes into account the candidate's
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factors: Thorough understanding of the JavaScript. Experience with JavaScript analysis tools. Strong programming skills required in JavaScript and Python. Proficiency in English. EVALUATION CRITERIA
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to work individually and as a team. Preferential factors: Experience with program analysis tools. Strong programming skills required in Rust and Python. Proficiency in English. EVALUATION CRITERIA
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according to their classification consisting on the sum of the partial classifications assigned in each evaluation criterion, and considering the weighting factor given to each parameter. In this process
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points, ranking the candidates according to their classification consisting on the sum of the partial classifications assigned in each evaluation criterion, and considering the weighting factor given
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the candidates according to their classification consisting on the sum of the partial classifications assigned in each evaluation criterion, and considering the weighting factor given to each parameter. In
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, ranking the candidates according to their classification consisting on the sum of the partial classifications assigned in each evaluation criterion, and considering the weighting factor given to each