333 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" positions at Monash University
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through lectures, seminars, studios, and workshops, while also contributing to curriculum development and undergraduate course coordination. You will supervise postgraduate students, lead or participate in
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research programs in water, sanitation and sustainability. Based within the Monash Sustainable Development Institute (MSDI), this role leads the design and delivery of bold, strategic communications
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develop individual-based models (also called agent-based models) to simulate insect-plant interactions. These are computer simulations where each individual animal is simulated in detail within a virtual
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lectures, seminars, studios, and workshops, while also contributing to curriculum development and undergraduate course coordination. You will supervise postgraduate students, lead or participate in research
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Recycling. This position supports the development of innovative, evidence-based research into Australia’s legal and regulatory frameworks surrounding carbon mitigation technologies, with the goal of shaping
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Group’s research programme for the development of therapeutic biomolecules. You will work as part of a team using cutting edge synthetic techniques to develop safer drug targeting systems based
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Monash’s ambitious research agenda and educational excellence. You will focus on intellectual property, research and development, and the higher-education regulatory space. This position will be responsible
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the successful candidate you will be responsible for liaising with Community to develop better ways to deliver medication education and care to support people with cancer taking oral chemotherapy and
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their as-manufactured state using industry-standard non-destructive testing (e.g. ultrasonic testing). You will also develop microstructure-informed modelling to evaluate in-service performance throughout a
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available