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computing, control theory, computer vision, or numerical simulations. Experience with Python-based scientific programming Excellent problem-solving skills, Ability to work collaboratively in a
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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
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Science, Chemistry, Computer Science, or related disciplines. Specific Requirements Knowledge and Professional Experience: • Knowledge of programming languages used in data analysis (particularly python) is
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(ES) - Conocimientos avanzados de mecánica cuántica, concretamente, información cuántica y redes cuánticas. - Experiencia en lenguajes de programación como Python o C. - Experiencia en el uso de
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publication track record in international scientific journals Demonstrated experience in ecological or oceanographic data analysis Proficiency in R, Python, Shell script, or MATLAB Experience working with CMIP
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/transport checks; maintain reproducible pipelines (configs, seeds, provenance). Collaboration and reporting: Work with the PI and team, contribute clean, well-tested Python code, document results, and prepare
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modeling, or integrative in silico approaches; experience with R, Python, or similar tools is an asset. o Ability to work in multidisciplinary and translational environments, interacting with clinicians
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record, with a focus on empirical methods Proficiency in programming languages (R, Stata, Julia, Python) Spanish working permit (recommended) Specific Requirements Strong problem-solving skills, solution
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We expect the candidate to: • Hold a PhD in Neuroscience, Computer Science, Neural Engineering, Biomedical Engineering, Data science, or a closely related discipline. • Proficiency in Python/Matlab
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programming (any language, but the work may be mainly in Python and Matlab). − Knowledge of ASPEN-type chemical process modelling − Knowledge of energy technologies, including renewable energies, hydrogen