455 parallel-and-distributed-computing-phd positions at Monash University in Australia
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, providing opportunities for creating rich contextual environments without having to conduct site visits. This PhD project aims to leverage innovative spatial computing technologies and proposes Immersive
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into infrastructure investment. The program helped me really open up, gain leadership and public speaking experience and gave me a better understanding of the industry and what I want to do next in my career. Am I
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for assisting with program delivery in collaboration with student leaders and faculty representatives, project scoping and identifying deliverables; and monitoring, evaluating and reporting on program and project
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What makes a machine conscious? This PhD would be at the intersection of Philosophy, AI and neuroscience. You would study the latest neuroscience based theories about how consciousness emerges in
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. Excellent interpersonal and communication abilities. High-level computer literacy and database management. Discretion, tact, and a commitment to confidentiality. This is your opportunity to play a key role in
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Scholars Program or Bachelor of Pharmacy (Honours)/Master of Pharmacy Scholars Program. No application is necessary. You will be automatically assessed when you make your course application through VTAC
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: pro-rata $120,138 - $132,610 + 17% superannuation The mitoHOPE program is seeking a communications specialist to support program research and operational outcomes. Central to the role will be
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their potential at Monash University. The scholarship program amplifies diversity in STEM through empowering scholarship recipients to achieve academic success. Total scholarship value $6000 Number offered 10 See
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Platforms will be highly regarded. Who We’re Looking For You will have: A PhD in Chemical, Biological, or a related Engineering discipline. A strong record of impactful research and scholarly publications
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown promising results in building prediction models, they are typically data-centric, lack context, and work...