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, enabling proactive measures against potential threats. Required knowledge Python programming Machine learning background
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experience with programming (e.g., Python), machine learning, or educational data is beneficial, it is not a strict requirement. The project provides ample opportunities to develop these skills over time. What
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to learn robotics or human-centered research methods will also be considered. Experience with programming languages (particularly Python), deep learning frameworks, and robotic simulation platforms (ROS
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industry to facilitate and coordinate new research collaboration and initiatives Proficiency in relevant programming, data analysis and modelling tools (e.g., Python, AI/ML, Simulation software – SUMO, Agent
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applying AI/ML techniques (deep learning, natural language processing, computer vision, reinforcement learning) to complex scientific problems Expert Python programming with major ML frameworks (TensorFlow
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, stakeholder engagement, and strategic analysis. Advanced proficiency in data tools and programming languages like Python or R. Exceptional communication and leadership abilities, with a knack for turning data
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analytical skills Excellent stakeholder engagement and communication abilities A collaborative mindset and commitment to research excellence Experience with data linkage, SQL, Python, or AI/NLP tools is
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experience (e.g. Python, C, Golang or similar) Excellent stakeholder communication skills, with the ability to collaborate across diverse user groups and conduct training Strong problem-solving skills and a
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processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep learning frameworks such as PyTorch, TensorFlow, or Keras. Project funding Project based
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experience working both independently and collaboratively in interdisciplinary teams. Your excellent communication skills and programming proficiency (e.g., Python, MATLAB, R) support your ability to lead or