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Field
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the expertise of the existing members of the School will be considered. Topics of interest include, but are not limited to: reasoning, autonomous systems, machine learning, AI and industrial processes, machine
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, contributing to the delivery and development of our Digital Engineering and Innovation Portfolio such as Applied AI for Engineering, Robotics and Automation, Computer Engineering, Electrical and Electronics
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Working with cutting-edge methodologies in geostatistics and machine learning, you will analyse a rich data set recording the frequencies of genetic mutations that confer insecticide resistance in wild
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(essential) / PhD (desirable) in Computer Science, AI, or a related field. Essential skills/ experience required include: Strong Understanding of machine learning algorithms, including deep and federation
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, development, and maintenance of research software solutions to accelerate research and outcomes within TransiT. The RSE will allocate a portion of time to training and mentoring the large PhD/Postdoctoral
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tangible operational improvements in an industrial setting. The successful candidate should have the following: PhD (awarded or submitted) in AI, data science, or a related field Experience with dairy SCADA
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transitions, metastability, climate system response to perturbations, and machine learning applications in climate science. You will be part of an internationally recognised research environment, where you will
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subject or an Honours Degree with appropriate professional qualification and/or membership and clinical experience. A teaching qualification or acceptance of the requirement to acquire one PhD or active
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observation data, and machine learning techniques to address climate and sustainability challenges. You will contribute to the development of computational frameworks, collaborate across disciplines, and work
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interfaces, rheology, fluid dynamics across scales, lubrication and wetting, biophysics as well as machine learning or metamaterials. For experimentalists, we are particularly interested in applicants aligned