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in Python and working with machine-learning frameworks and libraries, e.g., PyTorch, TensorFlow, Hugging Face Strong conceptual understanding of clinical and biomedical research, data standards, and
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for embedded deployment (ROS II, Python/C++) on the AGV's onboard computers, balancing computational efficiency and robustness Collaboration & Validation: Work with Luxbotix to integrate autonomy software
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professional experience as a Postdoctoral Researcher Strong computational background with proficiency in R and at least one additional scripting language, e.g., Python Solid knowledge of biostatistics Experience
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or socio-economic study of technology adoption in organisations Trustworthy AI, AI governance and regulation Information Technology Skills: Strong analytical and programming skills are required (Python and C
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software such as Stata, R, or Python A proactive and independent working style, with strong communication skills and high curiosity A genuine interest in developing independent research in entrepreneurship
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for LLM-based systems Human-computer interaction and human factors Trustworthy AI, AI governance and regulation Information Technology Skills: Strong analytical and programming skills are required (Python
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Language Processing and Understanding Text mining and information extraction Proficiency in Python Experience with information extraction from legal documents would be considered an advantage Language Skills: Excellent
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development, applied machine learning, or data pipeline engineering Strong proficiency in Python development practices and deep learning frameworks, specifically PyTorch and MONAI Practical knowledge
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· Excellent programming skills in languages like Python, C, C++. · A proven ability to collaborate effectively within an interdisciplinary team · The capacity to conduct research autonomously
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or consequential LCA being a strong asset, particularly in combination with dynamic LCA · Strong proficiency in Python and Brightway; experience with C++ or other programming languages is an advantage