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Internship: Physics-informed machine learning for variable amplitude loading in fatigue crack growth @ Koninklijk Nederlands Lucht- en Ruimtevaartcentrum

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About this role

Internship: Physics-informed machine learning for variable amplitude loading in fatigue crack growth at Koninklijk Nederlands Lucht- en Ruimtevaartcentrum. Location: Marknesse, Flevoland, Netherlands. Role: Designing a, Implementing a, Validating a Requirements: MSc student in Aerospace/Mechanical Engineering, Physics, Computer Science or related field; programming in Python with ML libraries (e.g., PyTorch); completed ML and Fatigue coursework. Category: Research and Development (R&D) Seniority: No Prior Experience Required Tools: Python, PyTorch Commitment: Internship Workplace: Onsite Languages: English, Dutch

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