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oxides at prior particle boundaries (PPBs). Le projet est financé par l'ANR (ePulse2, https://anr.fr/Projet-ANR-25-CE08-0397 ) qui se concentre sur deux matériaux utilisés en aéronautique qui présentent
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Learning, or a related field Strong background in cybersecurity and/or applied machine learning Interest in applied cybersecurity research with real-world impact Proficiency in Python and relevant ML
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in a relevant field (e.g., computational linguistics, digital humanities) Excellent programming skills, with extensive experience in Python Extensive experience with recent Python-based machine
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LevelBachelor Degree or equivalent Skills/Qualifications Experiencia investigadora. Colaboración grupos 5%, Publicaciones 5%. Conocimientos en análisis de datos o Machine Learning. 10%. Experiencia C++/Python 10
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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omics approaches or epigenetics, advanced coding skills in R or Python, and prior supervisory experience with students or research staff. For consideration, applicants need to submit a cover letter
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, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML
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mechanics) with data-driven techniques. • Proficiency in Python (NumPy, TensorFlow/PyTorch) and MATLAB. • Familiarity with deep learning architectures, particularly recurrent neural networks (e.g., LSTM) and
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Actuators, using the two main existing methodologies. Carry out the experimental implementation of plasma actuators in wind turbines. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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