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Field
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LevelBachelor Degree or equivalent Skills/Qualifications A Bachelor (or equivalent) in Physics. Strong background in quantum mechanics and computational methods.Programming experience (e.g., Python, Qiskit
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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 of materials’ magnetic, electronic and structural properties. Experience in spectroscopy and microscopy is valuable Knowledge in programming (Python) and 3D modelling will be valuable Availability
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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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implementación de pipelines automatizados para la gestión, análisis y visualización de datos geoespaciales y cartografía auxiliar utilizando R, Python y Google Earth Engine.Design and implementation of automated
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Competences Programming competence in R and Python Independent troubleshooting / problem solving Rigor and attention to details Effective communication in meetings Ability to document your code, pipelines
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& writing) in English Competences • Programming competence in R and Python • Independent troubleshooting / problem solving • Rigor and attention to details • Effective communication in meetings • Ability
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Requirements Experience with laboratory work, environmental monitoring and/or data analysis will be considered an advantage. Programming and data-analysis skills (e.g., Wavemtrics, R, Python or similar
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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