376 computer-programmer-"https:"-"Brookhaven-Lab"-"https:"-"https:"-"https:"-"BioData" positions at Monash University
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program that advances the understanding within the scientific fields of brain and mental health. This position will contribute to the research priorities of the Turner Institute for Brain and Mental Health
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research projects will be embedded in a wider research program funded by an NHMRC Ideas Grant focused on advancing adaptive platform trials by incorporating new external research as it emerges. The two PhD
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Species’ distributions are shifting in response to global climate change and other human pressures. Accurate methods to monitor and predict distribution shifts are urgently needed to manage threatened species and ecosystems, and to control invasive species and diseases. This requires a...
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where the target person appears to be performing actions or speaking as the source person. In a broader...
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This project explores the development of digital tools that measure the carbon footprint and nutritional impact of meals to support sustainable eating. It aims to integrate environmental and nutritional data into a user-friendly platform, enabling consumers, restaurants, and policymakers to make...
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental
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of Women’s Health program outcomes through a range of laboratory and technical activities, including sample preparation, cell and tissue culture and performing assays such as qRT-PCR, immunoblotting
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the Faculty. The role oversees the student lifecycle from admission to graduation, including student enquiries via Salesforce, the learning management system, the clinical program, and assessment processes
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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and their uncertainty to different stakeholders, and evaluate the effect of the conveyed information. The...
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My area of expertise is condensed matter theory. I am interested in the interplay between interactions and unconventional electronic properties of novel materials including graphene, topological insulators and Weyl semimetals. The former favours quantum states of matter (e.g. excitonic...