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Field
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analysis Experience working with R and Python for data analysis and image processing Familiarity with image analysis tools (e.g., ImageJ/Fiji, CellProfiler, or similar platforms) is desirable Education and
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) and/or techno-economic assessment (TEA). Familiarity with Python and optimization techniques. Excellent written and oral communication skills in English. Ability to work independently and as part of a
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training. Requirements: - Required qualifications: as indicated in Annex III of the Call for Applications. - Knowledge of SolidWorks 3D modeling software. - Experience in programming using Python or Matlab
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working in distinct projects. Demonstrated experience in Python programming. Specific Requirements Strong track record of scientific publications in AI. Proactive and solution‑oriented mindset, with strong
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Research FieldEngineering » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications Nastran/Patran, Abaqus y Hyperworks CATIA Matlab (Signal Processing) Python Specific Requirements Se valorará
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(GIS)and management of raster formats (NetCDF or GeoTIFF). Programming (Python, R or similar) for data processing and process automation. Other requirements to consider: Promoting teamwork and
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FieldEngineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Technical Skills: Optimization and Simulation Software. MATLAB / SIMULINK. Python. Specific Requirements Knowledge: Energy Systems and Smart
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: Geographic Information Systems (GIS) and management of raster formats (NetCDF or GeoTIFF). Statistical models (time series analysis, probability distributions). Programming(Python, R or similar) for data
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of publications in high-impact Q1 journals applying computational methods to materials science. Advanced proficiency in Python, ML libraries (PyTorch/Scikit-learn), MLOps, Docker, and computational materials
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) or equivalent. C. Demonstrable experience* in the field of tasks to be performed in the project (max. 3.5 points): - Knowledge of Deep Learning (max. 0.75 points) - Python programming language and environments