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frame extraction, and content block classification. Where to apply Website https://www.uniovi.es/conocenos/rrhh/convocatorias/investigacion Requirements Research FieldComputer scienceEducation
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statistical modeling, machine learning, data analysis, and reporting Proficiency in Python or R Ability to plan, execute and control a project, establishing realistic estimates and reporting timelines Advanced
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statistical analyses on patterns or trends in regulation using appropriate statistical programming languages such as R or Python. Produces reports summarizing research and analyses in an effective and objective
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laboratory Co-authorship on a research article or manuscript in preparation First-author presentation at a research conference -Experience with coding (ideally in Python) and statistics, and affinity
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workloads including embedding generation, LLM inference, and cognitive search. Develop Snowpark Python transformations, UDFs, and machine-learning features. Implement vectorized storage, model-serving
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Demonstrated experience in statistical analysis of biomedical or clinical datasets Strong programming skills in R and/or Python Experience in data cleaning, management, and integration from multiple sources
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design and programming (i.e. R or Python). Knowledge of multivariate analysis techniques such as multiple analysis of variance, multiple regression, logistic regression, and factor analysis. Research Study
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-oriented research Requirements: strong programming and mathematical skills (or strong willingness to learning them) experience with Mathematica and Python work with models in public economics (e. g. optimal
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working in a collaborative environment as well as independently Programming, scripting, and/or web development experience using JavaScript, Java, C#, ASP.Net, PowerShell, Python or a combination
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visually-guided decision-making in the fruit fly, Drosophila melanogaster . More information about Dr. Card and the lab’s research can be found by visiting https://www.hhmi.org/scientists/gwyneth-card About