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Geográfica (SIG). - Dominio en modelización estadística de datos y de software estadístico y SIG (R, QGIS/ArcGIS, Python). - Experiencia en la redacción de textos científicos y buen nivel de comunicación
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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of programming languages (e.g., Python or R)We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and
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/Python and signals processing Understanding of electromagnetics Experience with CAD and mechanical design How to apply: Interested candidates should submit a full formal application, guidance and the
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. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in 2D convolutional neural networks in Python. This is a part-time position (5
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. ability to code MBSE models in Capella. proficiency in Python programming. Application Welcome with your application, no later than October 7, 2025, including: Motivation letter CV Certified diplomas
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of working in a multidisciplinary, international consortium?Are you familiar with Python, MATLAB, or similar tools for data analysis and optimization?Are you eager to contribute to EU-wide goals on energy
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2D convolutional neural networks in Python. This is a part-time position (5 hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant
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team of neuroscientists, computer scientists and clinicians Your Profile: Excellent university degree (Master) in neuroscience or a related field Solid understanding of statistics and programming (Python
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machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g