330 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs at Monash University
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this project, we will develop automated approach to detect the defects in AI systems, including LLMs, auto-driving systems, etc. Required knowledge - self-motivated, willing to spend time and efforts in research
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the endless possibilities of digital sound, allowing the plucking of sounds out of thin air. URLs and Further Reading https://airsticks.xyz/ Ilsar, A.A., 2018. The AirSticks: a new instrument for live
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the organisation. About you: Degree in Computer Systems or Software Engineering (or related discipline) Experience in software development, including WPF and ASP.NET Core Familiarity with JavaScript frameworks
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independently and collaboratively Well-developed analytical and problem-solving skills Highly developed written and verbal communication skills Advanced computer literacy, including experience using project
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and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it
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an electrical and computer systems engineering degree in the Faculty of Engineering. Total scholarship value $20,000 Number offered One at any time See details Farrell Raharjo Clive Weeks Community Leadership
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surrounded by extraordinary ideas - and the people who discover them The Opportunity The Faculty of Engineering – Joint Departments of Electrical & Computer Systems Engineering and Mechanical & Aerospace
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problem-solving capability High computer literacy, including proficiency with Microsoft Office Substantial relevant skills and experience An understanding of the University environment and its dynamic
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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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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