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Master Thesis: Triage of Non-compliant UAS Flights Using Machine Learning Methods @ Koninklijk Nederlands Lucht- en Ruimtevaartcentrum

Amsterdam, North Holland, NLOnsiteInternship
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About this role

Master Thesis: Triage of Non-compliant UAS Flights Using Machine Learning Methods at Koninklijk Nederlands Lucht- en Ruimtevaartcentrum. Location: Amsterdam, Noord-Holland, Netherlands. Role: investigate drones, implement ML, evaluate model Requirements: MSc Aerospace Engineering student; Python experience; practical ML/RL (PyTorch); completed ML course; preferably Air Traffic Management knowledge. Category: Research and Development (R&D) Seniority: Entry Level Tools: Python, PyTorch, BlueSky-Gym, Stable Baselines3 Commitment: Internship Workplace: Hybrid Languages: English

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