92 postdoctoral-image-processing-in-computer-science-"Multiple" positions at La Trobe University
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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, biology, engineering, machine learning / data science, coding. How to apply: This is an Expression of Interest process. To express your interest in applying, candidates must supply the following information
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Technical Services team which supports teaching and research activities. This role will work closely with the Archaeology discipline within the School of Humanities and Social Sciences and will provide a
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Full Time / Fixed Term Appointment 31/12/2025 / Remuneration at Academic Level B / TF Showcase your strong understanding of learning sciences and teacher pedagogy Work in teaching teams to develop
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of Computing, Engineering and Mathematical Sciences), reporting to Dr Rebecca Chisholm. They will work closely with other project investigators based at La Trobe (A/Prof Joel Miller and A/Prof Hien Nguyen), The
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Full Time / Fixed Term Appointment 31/12/2025 / Remuneration at Academic Level B / TF Showcase your strong understanding of learning sciences, mathematics and teacher pedagogy Demonstrate a strong
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Australian or New Zealand citizens or Australian permanent residents newly enrolling in a PhD. Students undertaking the joint PhD program will be enrolled in a PhD at both institutions. Your supervisory team
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Full Time, Continuing Position Campus Independent HEO5 Classification Potentially multiple positions available About the position The ASK La Trobe team serves as the frontline team for all current
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, gender, sexuality and relationships. ARCSHS is home to the largest program of LGBTQ health and wellbeing research and knowledge translation in Australia, with expertise in family, domestic and sexual
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recognised research partnership formed between the Indian Institute of Technology Kanpur and La Trobe University that brings the two organizations' research capabilities together to build a critical mass of