3,545 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions in Australia
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educational platforms and learning management systems excellent written and verbal communication skills, with the ability to write, edit, and proof publications for diverse audiences high-level computer skills
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of system and data confidentiality and complete any other requirements. Desirable skills: Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems. How to apply
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2022) and with top rankings in Victoria around student support, social equity, skills and employment, we are driven to make difference to every student and the community providing lifelong learning
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stakeholders in data-informed decision-making Build strong partnerships to apply analytics and machine learning for meaningful impact About you Tertiary qualifications in analytics, data, or a related field (or
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the dishes are sanitized removal of hard rubbish and the removal of kitchen food waste into our compost machine putting away stock assist in food preparation Applications for this position close on 3rd Feb
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Environmental Engineering Mechanical and Aerospace Engineering Electrical and Computer Systems Engineering Chemical and Biological Engineering Materials Science and Engineering About the Role We are seeking
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opportunity In this opportunity as a Senior Clinical Simulation Specialist, you will collaborate with academic staff to develop and implement clinical simulation scenarios that align with the program’s learning
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cyclist movements. You will work with traffic data generated by RSA, including tracked trajectories and derived interaction events. While upstream computer vision and AI models extract this information from
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relationships with a range of stakeholders. A high level of organisation and attention to detail. Strong computer literacy, including confidence using the Microsoft Office Suite. Desirable Criteria Tertiary
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much