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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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learning, or human-computer interaction would be advantageous. How to apply We are seeking expressions of interest from qualified domestic candidates who wish to apply for this PhD opportunity. This position
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Monash/Bayreuth Double PhD Degree Opportunity - Accelerating organic semiconductor discovery with generative AI, molecular dynamics and DFT Job No.: 698040 Location: Clayton (home) and Bayreuth
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check the minimum entry requirements for the PhD . Applicants must also satisfy Monash’s English Language Proficiency requirements; Demonstrate knowledge of machine learning, medical image analysis
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PhD Scholarship in Adaptive Soft-Mist Inhaler Technology Job No.: 697546 Location: Clayton campus (Laboratory for Turbulence Research in Aerospace and Combustion (LTRAC)) Employment type: Full-time
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PhD Scholarship (Industry) - Privacy-Preserving AI for Human-Centric Video Analytics Job No.: 696616 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up
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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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language processing, large language models, machine learning, network analysis, social media analytics, and large-scale analysis of online discourse and communities. This PhD scholarship will be based within
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optics-related research. I have available PhD and Honours projects. If you are interested in our nanophotonics research—a dynamic field in applied physics where you can bring your innovative designs
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spectroscopy and Gaia data of star clusters to decipher the mystery of the Lithium-rich giant stars" (with Prof John Lattanzio) "The origin of the heavy elements: Computer simulations of neutron-capture