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Field
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building new collaborations between the University and relevant partners • Supporting internal analytics to help determine focus/strength areas of commercializable research • Developing a new deep technology
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Australia. With at least five years of clinical experience in primary care, aged care, or gerontology, you bring a deep understanding of healthcare delivery. Your strong research track record includes high
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the University's research culture and collaborative profile. Qualifications: PhD in Computer Science/AI or a closely related field. Extensive research experience in machine learning, deep learning, and self
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Fellow in EEE to contribute towards NLP-based research and associated deep learning applications. The Research Fellow/Research Associate is also expected to support teaching activities as required by
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Institution. Faculty at CSU are among the best in their fields and combine classroom learning with experiential learning. CSU is recognized as a leader in student success and supports the holistic student
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to flow/scaled flow processes. Design and synthesize green solvents (e.g., deep eutectic solvents) for efficient biomass component extraction. Collaborate on the development of hybrid physics-based/data
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the time of the appointment start date. Demonstrated expertise in current deep learning techniques (especially GNNs and/or RL) applied to biological data. Experience with spatial transcriptomics or single
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Language Processing (NLP) with a focus on large language models, deep learning, and multi-modal machine learning. The researcher will work on the project KAMAL Health: Knowledge-Augmented Multi-Modal Arabic LLMs
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML