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meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree or at least 8 years working experience in Computer Engineering, Computer Science, Electronics
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Full time fixed term 18 months Contribute to an innovative and interdisciplinary research program at Sydney Law School Academic Level A Base Salary $93,424 - $125,896 p.a. + 17% superannuation About
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scalable way. This project aims to solve this by combining different kinds of data - structural, functional, and causal - into a single AI-centred computer model. We focus on the larval zebrafish, a small
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for translational biomedical research, with extensive expertise and infrastructure in drug discovery, cancer biology, pharmacology, animal models, imaging, and therapeutic development. The Skaggs School of Pharmacy
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. Desired Skill Sets A PhD in Engineering, Math, Physics, Computer Science or a related field. Strong programming and computational skills. Experience in AI development, mathematical modeling or data analysis
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for developing and using systems to phenotype root systems in greenhouse and field settings under the guidance of research mentors. Build skills in root image processing and other data analysis activities using
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, Qualifications & Requirements: Required Qualifications The ideal candidate will hold a PhD in the field of psychology, neuroscience, computer or data science, physics, or physiology with brain imaging experience
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, clustering and classification of extensive marine-based image archives, characterisation of change in multi-year surveys and adaptive mission planning for multi-vehicle systems. We undertake marine surveys
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characterization, scientific computing, and artificial intelligence. Applicants should have: A Ph.D. in mechanical engineering, materials science and engineering, applied physics, computational science, or a closely
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-based processing of geospatial data; reproducible research workflows, scientific data management or FAIR data principles, e.g. Github; science communication or visualisation of spatial and environmental