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visuals, performing spatial and temporal reasoning, and managing multi-step decision-making tasks. By developing specialised models for spatial reasoning and enhancing the integration of map-based tools
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bioinformatic pipelines for single-cell sequencing, spatial proteomics/transcriptomics, and or integrative multi-omics data analysis. You’ll be able to demonstrate strong proficiency in R or Python, bash, and
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bioinformatic pipelines for single-cell sequencing, spatial proteomics/transcriptomics, and or integrative multi-omics data analysis. You’ll be able to demonstrate strong proficiency in R or Python, bash, and
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-cell & spatial omics projects Collaborate with top-tier labs across MCRI & Peter MacCallum sites The opportunity: The MCRI Transcriptomics and Bioinformatics Group are a multidisciplinary team of
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: Proficiency in Python, R, machine learning, and image processing Experienced with spatial data, GIS tools, and sensor datasets (e.g. LiDAR, hyperspectral) Strong collaborator with excellent communication and
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Job Reference: 1060352 About the Role: As a GIS Specialist, you will be responsible for providing technical expertise and ensuring the accuracy of spatial data used by PF&D and its stakeholders. You
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new Team – School of EPS: The School of EPS has a wide range of facilities available for Applied Geology and Spatial Sciences students, staff and researchers whilst providing world-class training
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illustrative example of this strand of research: “I Spent More Time with that Team”: Making Spatial Pedagogy Visible Using Positioning Sensors. LAK 2019 [PDF]
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of data capture, processing, analysis and/or visualisation from various sources that may be relevant to NEAC, e.g. social research, IoT devices, energy systems, spatial data Knowledge of systems engineering
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of machine learning, or other spatial Artificial Intelligence methods. Salary Appointment to this role will be at Academic Level B and will have a total remuneration package of up to $155,885 comprising base