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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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, 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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interpreting omic-seq data sets, with Unix/Linux operating systems, with RAID and server systems; should have good scripting/programming skills (R, Python, Bash, Next-Flow, etc.); and should have a good command
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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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to properly report, organize and publish research data Good command in spoken and written English ADDITIONAL SKILLS Programming skills in Python and MATLAB Previous experience thermographic imaging Good
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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