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field Demonstrated MEG analysis experience (FieldTrip/Brainstorm/MNE-Python or similar) Job Description: The Magnetoencephalography (MEG) Lab at the University of Florida (UF) is seeking two highly
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tasks, preparing EEG protocols, supporting EEG data collection, developing preprocessing and analysis pipelines using MNE-Python, and contributing to the analysis of pilot EEG data. The post-holder
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, manage complex model ensemble interfaces, and coordinate computational infrastructure with national consortium collaborators. 60% Digital Twin Workflows & Data Assimilation: Develop Python workflows for
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undergraduate student with Python experience to join Dr. Maya-Lastra’s research lab on a project in automated lexicon enrichment for botanical data. The successful candidate will help develop a bootstrap
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pipelines (R/Python) and contribute to development of reproducible analysis workflows. Maintain meticulous experimental records, data organization, and documentation. Support data analysis and visualization
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SAXS data using established analysis software and Python-based tools. developing and documenting reproducible analysis workflows in Python and Jupyter. performing comparative analyses of data collected
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, manage complex model ensemble interfaces, and coordinate computational infrastructure with national consortium collaborators. 60% Digital Twin Workflows & Data Assimilation: Develop Python workflows for
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://ramialison-lab.github.io/index.html Alan M Turing paper on morphogenesis Required knowledge Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python
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skills in Python, TypeScript, and JavaScript, along with frameworks like PyTorch, to implement and test quantitative models. • Financial Expertise: Apply knowledge of finance, especially in risk
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programming language such as C++, R or Python, interpretation of model outputs, publication and presentation of findings. The work will be conducted in close collaboration with empirical researchers