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experience, deemed equivalent by the GRC (or delegate). The ideal PhD candidate will have: A strong background in machine learning, deep learning, and signal processing Proficiency in Python and machine
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should ideally have experience in: Essential Deep learning and machine learning Computer vision Python programming PyTorch or TensorFlow Strong mathematical and analytical skills Desirable Video
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research themes including metallurgy, biomaterials, polymer chemistry and processing, and advanced materials. The Opportunity Applications are sought from outstanding candidates for PhD study in
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the Integrated PhD program application process outlined on the Monash Business School website. Briefly, the process is: Assess your eligibility using the interactive tool on the webpage under Step 1 (i.e. the PhD
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, computer vision, federated learning, foundation models, adaptation techniques, multimodal learning, longitudinal image analysis or related areas, evidenced through coursework, research projects
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involving patients and communities more deeply in the process. An important part of this project (WP-1) will be to understand the impact of patient data on funding decisions for medical technologies. We will
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at arts.monash.edu/graduate-research/application-process . Applicants should ensure they familiarise themselves with these requirements before deciding whether they should apply. Scholarship holders must be enrolled
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supergiant stars right before the explosion Searching different astrophysical channels that produce r-process elements Connecting the properties of long-duration gamma-ray bursts and associated supernovae web
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, including difficulties understanding eligibility requirements, producing relevant documents, and navigating complex administrative processes. The PhD project will generate in-depth qualitative evidence on how
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality