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in clinical trials and may be a clinician, researcher, or student who is affiliated with an APT. The project will involve using an organisational readiness lens to understand and implement a co
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, research institutions, and commercial organisations is vital to address the large scale technical challenges inherent in combating criminal network activity. A significant issue in this work concerns the
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telescopes (high-resolution spectroscopy) and space-based telescopes (asteroseismology). The uniting theme of these research projects is to expand our understanding of stars with masses similar to the Sun
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answering take a neural-symbolic approach and combine meta-learning and reinforcement learning techniques [1,2,3]. On the other hand, the generation of complex questions, the dual problem, is less explored
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I supervise a wide range of projects in gravitational-wave astronomy. This work is carried out within the Centre of Excellence for Gravitational-wave Discovery: OzGrav. As a member of my team, you
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
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be more challenging when the focus is minority groups. These scholarships will assist a student who is from a minority or who completes research focussing on a minority group. Total scholarship value
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circular packaging economy. Opportunity SMaRT-Pack has multiple immediate opportunities for fully-funded PhD projects in Australia. These full-time 3.5-year PhD Projects are offered across SMaRT-Pack’s nodes
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while inferring underlying physiological changes. Required knowledge Machine learning, dynamical systems theory, control theory, signal processing, time series analysis, neuroscience are all relevant and
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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As