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dopamine receptors in the striatum and substantia nigra by Western blot. Statistical analysis and representation of data using Excel and GraphPad Prism softwares. Preparation of results for presentation in
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implementation of data pipelines. Programming in computational neuroscience: Python, MatLab. Specific Requirements Knowledge: Processing of neural signals. Network science. Statistical learning. Algorithm design
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or Python (data management, statistical modelling, visualisation, and reproducible workflows). Excellent English (written and spoken); Spanish and/or Catalan are an asset, and additional European languages
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year of work experience) - Knowledge and training in Research, Epidemiology, and Statistics (1 point, 0.2 per course and/or 0.5 per year of work experience) - Experience in the Predict research line (2
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closely related scientific fields. Experience or familiarity with research areas such as soilless cultivation, fertigation practices, data analysis and statistical approaches, or sustainability-related
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coordinating scientific tasks or contributing to collaborative research projects. Experience with data processing and statistical analyses in R or Python is an asset. Experience with emerging contaminants
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-anticipation Brief Theme Description: Current Foundation Models (FMs) excel at high-dimensional statistical pattern matching, yet they often lack an internal representation of the causal dynamics governing
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well suited include soil science, agronomy, plant or environmental sciences. Experience in areas such as bioinformatics, image analysis, statistics, or modelling applied to plant-soil systems would be
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, with statistical evaluations to support sound scientific conclusions. To provide contributions and scientific expertise for the ongoing research project, fostering innovation and methodological
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statistical analysis of neuroimaging data. Implement, document, and maintain analysis scripts using Python and/or MATLAB. Integrate cognitive, affective, behavioural, and neuroimaging datasets to test