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with strong background in Computer Vision and Machine Learning. Position Overview: In this position, you will investigate the existing solutions for assessing datasets and developing a novel tool relying
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utilise modelling techniques using phenotypic information derived from the electronic clinical records for large populations with long term conditions. The post holder will undertake translational research
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engineering, engineering computing, sensor networks and measurement technologies, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD
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PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including
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PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including
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engineering, engineering computing, sensor networks and measurement technologies, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD
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and master's level in engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's
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their high school diploma. We are looking for applicants with: Solid expertise in algorithm development, and strong programming skills Previous experience in applied machine learning, data visualization and
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likely to include teaching at all levels in Roman archaeology and Roman material culture. The role You will join a large and dynamic department that offers a range of single and joint-honours programmes in
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data science, machine learning preferred. - Strong programming skills in R and/or Python required. We invite applications from qualified candidates who share our commitment to employment equity and