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brain signal analyses Strong background in experiment programming and statistical analyses Excellent written and oral communication skills in English Specific Requirements Experience in participating in
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Neuroscience, or other relevant areas. Experience with brain signal analysis. Strong background in programming and statistical analysis. Excellent written and oral communication skills in English. Specific
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positively valued: programming languages (Python, JavaScript), data analysis software techniques and tools, machine/deep learning (Pandas, SHAP , TensorFlow, etc.) and specific to image analysis, statistics
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Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
, protein handling, and/or in vivo models. Previous knowledge on image analysis, statistical tools, writing, and presentation software. Demonstrated scientific writing/communication skills. Previous mobility
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of this annex, as well as to: Programming in Python and R. Statistical classification and machine learning methods: SVM, neural networks and logistic regression. 3.2. Qualification: Official Master’s degree in
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/cancer-related work, advanced training courses (e.g., methods of data analysis and statistics, animal experimentation license, etc), participation in scientific programs, etc Education and training Have
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foods. Develop food prototypes of dry-cured meat and their plant-based analogues with optimized texture and sensory properties. Perform advanced statistical analysis, mathematical modeling, and interpret
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in experiment programming and statistical analyses and excellent written and oral communication skills in English. DCs must comply with the Marie Curie Actions mobility rule: the researcher must not
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, machine/deep learning (Pandas, SHAP , TensorFlow, etc.) and specific to image analysis, statistics, simulation, cloud environments (Kubernetes type, Docker-compose, virtualization, etc.), 3D environments
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, including data obtained from camera trapping and large databases containing data on the movement of species tracked by GPS. · Statistical analysis of data in R, which includes programming of algorithms