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Molecular Neuroscience, Molecular Biology, or a related discipline (required). Demonstrated experience in, behavioural neuroscience techniques and automated/semi-automated machine learning analyses of rodent
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experience with programming (e.g., Python), machine learning, or educational data is beneficial, it is not a strict requirement. The project provides ample opportunities to develop these skills over time. What
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offering solutions to complex problems and creating new possibilities. At La Trobe, our students gain essential skills in programming, data analysis, and machine learning, equipping them to shape the future
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, Technology and Information in Human-Computer Interaction (HCI), with a focus on responsible computing. The successful candidate will have an interest in online safety, including areas such as social media
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modelling, or machine learning). Proficiency in statistical programming (e.g., R, Python, Stan, or similar). Experience developing and managing longitudinal studies. Evidence of contributions towards
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the brain. This wouldn't be a typical machine learning PhD, as many aspects can only be examined on a philosophical and theoretical level. There may be scope to implement aspects in the ideas you develop
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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and
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electrical engineering, computing, physics, and mathematics to better understand and advance our data-driven world. It has built substantial knowledge in machine learning, cyber security, statistics and
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to practice-oriented learning. UTS Law seeks to develop partnerships with external stakeholders to meet the rapidly changing needs of the workforce and to address issues of social justice. Reporting to the Vice
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Nuclear Science and Engineering Undergraduate Scholarship - Department of Defence | Australia | 4 days ago
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