529 computer-science-intern "https:" "https:" "https:" "https:" "DESY" uni jobs at Monash University
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culture of continuous improvement, managing complex priorities while while fostering collaboration and strong stakeholder relationships to support effective program delivery. The role requires significant
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AI is now trending, and impacting diverse application domains beyond IT, from education (chatGPT) to natural sciences (protein analysis) to social media. This PhD research focuses on the fusing AI
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citizen A New Zealand citizen Australian permanent resident Australian humanitarian visa holder An International student Applicants must: be a commencing or continuing full-time Honours students (enrolled
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nanofabrication facility. If you thrive in a dynamic environment and enjoy helping a team to deliver world-leading science and technology then this is your opportunity to shine. Be the Backbone of a Cutting-Edge
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activities, such as the Monash Minds Student Leadership Program. I am grateful for the support this scholarship has provided. It has empowered me to embrace new opportunities with confidence and has
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This project aims to identify novel methods for inferring actors, activities, and other elements from short message communications. Covert communications are a specialist domain for analysis in the Law Enforcement (LE) context. In this project we aim to improve law enforcement’s understanding of...
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potential remedial approaches - will be explored in this research program and they include (as examples): variability in staining outcomes across different stains and different sites (even within a given
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remains underutilised and inconsistently effective. A key reason for this gap is the learner’s limited capacity to engage with feedback productively, a skill known as feedback literacy. Current approaches
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imaging centres in Australia, hosting many cutting-edge imaging equipment for biomedical imaging research. The Department of Data Science and AI, Faculty of IT is home to many world class research programs
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This project involves model-based depth of anaesthesia monitoring using autoregressive moving average modelling and neural mass and neural field modelling of the electroencephalographic (EEG) signal. This will be achieved through frequency domain and time domain state and parameter estimation...