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or publications; Have experience with Python programming and the use of high-performance computing infrastructure for AI research; Have excellent written and verbal communication skills; Have the ability to work
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experience (5+ years) of data transformation languages such as SQL and Python. Strong analytic capability, with the ability to integrate team efforts to achieve goals and overall program activities
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software (R, Python, STATA, or similar). Demonstrated track record in research and applied project leadership with outcomes of high quality and high impact, including evidence of successful delivery
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experts and newcomers to the field. Experience with High-Performance Computing (HPC), job scheduling, and parallel programming. Proficiency in programming languages such as Python and MATLAB. Some
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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++, Python, Openfoam, Ansys, COMSOL. Demonstrated ability to work independently and to formulate and tackle research problems. Demonstrated academic research experience as evidenced by publications in high
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tools (e.g., Docker, Kubernetes). Experience supporting learning management systems (e.g., Moodle) and digital assessment platforms. Strong scripting skills (e.g., Bash, Python) for automation and system
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monitoring. Strong technical capability in GIS, spatial modelling, and programming (e.g. Python, R). Experience contributing to interdisciplinary research and collaborative projects. Excellent communication
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, and multimodal AI systems. You will bring strong technical skills in Python and modern deep learning frameworks, together with the ability to develop, evaluate, and optimise complex AI solutions. You
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, enabling proactive measures against potential threats. Required knowledge Python programming Machine learning background