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; Advanced knowledge in handling weather and climate-related data; Fluent in Python programming; Ability to write robust and well-documented code; Good knowledge of written and spoken English; Good knowledge
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field (obtained within the last 3 years). Technical Expertise: Solid experience in processing Optical and SAR imagery and geospatial analysis. Programming: Proficiency in Python for EO data science (e.g
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, transformer-based models), including experience with their application to biomedical and biological data; Experience with machine learning frameworks and programming languages (e.g. Python) for handling large
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preference for former and recent deep learning models (GNNs, Transformers, etc.). Strong programming ability (Python preferred) with hands-on skills in AI and Deep Learning frameworks (e.g., Pytorch
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of intelligent systems Solid programming skills (Python, C/C++, or similar). Experience with autonomous systems (UAVs, robots, self-driving systems) is a major plus. Ability to work independently and
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frameworks, e.g., Caffe, TensorFlow, PyTorch, and GPU-acceleration frameworks, e.g., CUDA will be a plus. Outstanding SW development and programming skills in C++, Python, ROS tools and libraries. Excellent
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machine learning, robustness, or formal verification (e.g., NeurIPS, ICML, ICLR, IEEE S&P, USENIX Security, CCS). Proficiency in Python and experience with at least one additional programming language such