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for Languages (CEFR). Knowledge of Python programming. Knowledge of JavaScript. Practical experience in artificial intelligence, machine learning or deep learning, in academic or business environments. Training
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Skills/Qualifications Technical Skills: Advanced programming in Python, PyTorch, PyTorch Geometric or DGL. Version control (git), Linux and model training on GPU (reproducible experiments). Other
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characterization methods - Attosecond/X-ray beamlines, high vacuum systems, cryogenics, compressed gas handling - Quantum materials/ultrafast dynamics of materials - Laboratory control coding (python preferred
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/imitation in robotic environments. 3.5. Programming in C/C++ and/or Python, integrating robotics and simulation libraries (ROS, Gazebo, Casadi, MATLAB-Simulink, Isaac Lab, MuJoCo, TorchRL). 3.6. Programming
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data and scientific software (OriginPro, R, Python or equivalent). Participation in competitive research projects. Applicants must demonstrate proficiency in English (minimum B2 level
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(Raman, CQMB, AFM, etc.) o Experience in programming (LabView, Python, C++, Matlab) o Teamwork skills o Fluent English both spoken and written Summary of conditions: Full time work (37,5h/week) Contract
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/Qualifications - Programación en Python - Manejo de herramientas de análisis de datos - Experiencia en herramientas de simulación de redes satelitales - Experiencia en análisis de datos Specific Requirements
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scientific programming in Python and the use of frameworks such as PyTorch or TensorFlow. It is also necessary to have experience in federated learning and deep learning applied to medical imaging, as
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, parabolic equations, ray-tracing. Skills: excellent computational skills: Python, Fortran, HPC. Language skills: Fluent in English, Spanish is not required but advantageous. Specific Requirements We
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or equivalent Skills/Qualifications - Conocimientos demostrables de Python, Matlab, SageMath y MySQL. Nivel avanzado Specific Requirements - Máster en matemáticas y/o ingeniería computacional - Doctorado en