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environmental conditions. Develop reproducible cartridge fabrication workflows, design documentation, and standardized testing protocols to support scalable prototyping and design transfer. Plan experiments
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. Willingness to support project reporting and milestone reviews. Hard skills Strong programming skills in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience in autonomous navigation
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), materials informatics, energy storage and conversion materials, electronic materials, or interpretable and physics-informed machine learning. Proficiency in scientific programming and materials simulation
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environments (e.g., Unity, real-time streaming, device drivers). User Studies & Evaluation • Plan and conduct rigorous user-centered evaluations, including usability studies, psychophysical experiments, and
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datasets; ability to integrate multi-source observational data. • Strong programming skills • Good publication record in relevant journals. • Strong written and oral communication skills
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experiences on computer vision • Strong programming skills in using Deep Learning tools like PyTorch and GPU clusters. • Good written and verbal communications. • Open to Fixed Term Contract
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, machine learning, or related fields. Have strong programming and computational skills in Python, R, MATLAB, or related analytical and machine learning frameworks, such as PyTorch, TensorFlow, or Scikit
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disorders, and the role of the gut microbiome in these conditions. Independently design, plan, and execute experimental research aligned with project objectives. Write and review research papers, present
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in educational data mining and AI for education, with the ability to handle a large amount of data Prior experience working with LLMs, including programming, fine-tuning, evaluating and benchmarking
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. The Research Fellow Programme at CIL offers a valuable opportunity to collaborate with and learn from other scholars and experts within the CIL Oceans Law and Policy Team, in a dynamic and supportive research