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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
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multidisciplinary environment.You may also: Hold a PhD in cognitive neuroscience or a related field. Have experience analysing brain imaging or electrophysiological data. Possess strong computational skills and
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or school. About you Completed PhD in a relevant field. Demonstrated ability to communicate effectively and deliver engaging presentations supported by strong computer literacy skills. Proven customer service
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to projects or programs of work appropriate to the classification level as required. About you PhD in a relevant discipline such as public health, health policy, innovation management, environmental science, or
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below, attaching as a separate document: Essential A PhD in photovoltaics or a closely related discipline Demonstrated track record in microwave systems and annealing processes Demonstrated track record
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criteria below, attaching as a separate document: Essential A PhD in photovoltaics or a closely related discipline Demonstrated track record in microwave systems and annealing processes Demonstrated track
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methods, and, more broadly, in the physics of imaging and materials science. The position will work in close collaboration with Professor Jian-Min Zuo, Director of the Monash Centre for Electron Microscopy
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, and, more broadly, in the physics of imaging and materials science. The position will utilise instruments in the Monash Centre for Electron Microscopy which has a powerful suite of instrumentation
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letter that demonstrates how you meet the following selection criteria: Essential: PhD in physics, astronomy, optics, atmospheric science, or a closely related field. Experience with adaptive optics