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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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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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, 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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system administration, performance tuning, troubleshooting, automation, and security hardening. Strong programming/scripting skills in Python, Bash or similar. Proven experience supporting researchers in
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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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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
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to molecular data. Strong knowledge of quantum, medicinal chemistry principles and chemical representations; familiarity with physics-informed ML and drug discovery is necessary. Proficiency in Python and deep
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various sources. Required knowledge Python programming Machine learning background Image analysis Video analysis