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In many branches of science (e.g., Artificial Intelligence, Engineering etc.), the modelling of the problem is done through the use of functions (e.g., f(x) = y). On a very high-level, we can think of Machine Learning as the problem of approximating function f from the pair of measurements...
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Fellows to join a major program (>$20M) funded by the Advanced Research Projects Agency for Health (ARPA-H). This ambitious program focuses on lymphatic pathophysiology and the development of innovative
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community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a Level A
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a motivated Level A Research Fellow for a 2 year research-only appointment. A Level
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ambition and leadership qualities in the field of Electrical and Computer Systems Engineering. The scholarship is provided by former Monash University Chancellor Mr Jerry K Ellis and Mrs Ann Ellis, and is
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leadership capabilities, enabling them to reach their full potential and make a real difference to people's lives and the future of pharmacy. You will participate in a leadership program throughout the course
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, identifying molecular disease signatures and matching them with the most effective therapeutic interventions are essential. The Hudson‐Monash Paediatric Precision Medicine (HMPPM) Program aims to develop and
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discipline) Science or applied science Mathematics or data science Computer science Environmental or sustainability studies Design, manufacturing, or technology fields Applicants should demonstrate: A strong
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working with SPF animals, barrier facilities and specialised equipment such as biosafety cabinets and autoclaves Strong organisational skills, sound computer literacy and a high level of accuracy in record
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series