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demonstrated experience in bioinformatics and/or advanced statistical analyses (e.g. Python/R, Linux environment). Evidence of capacity to problem-solve and troubleshoot independently, with a solutions-focused
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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and budget management, strong technical skills in SAS, STATA, R, and Python, and excellent interpersonal skills to build effective relationships across staff, students, and external stakeholders. A
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, modern data management platforms Proficiency in data modelling and statistical and analytical software (e.g., R, Python, SAS) Proven experience developing and maintaining IBM Planning Analytics (TM1
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will bring: Qualifications and experience aligned with HEWL 6. Demonstrated experience working with environmental or ecological data, including data wrangling, analysis and visualisation (Python, R, GIS
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Python expertise HE0 8: $126,065 - $142,171 plus 17% Superannuation About the opportunity We are looking for an Analytics Specialist to step into a pivotal role at the forefront of advanced analytics and
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and budget management, strong technical skills in SAS, STATA, R, and Python, and excellent interpersonal skills to build effective relationships across staff, students, and external stakeholders. A
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Python-based ML frameworks to advance the platform from alpha to a validated beta prototype. Working within the JCU research environment and alongside industry partners (HCPSL, BPS, and SRA), the role
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-on experience with large-scale data processing using distributed computing frameworks. Strong understanding of data performance optimisation techniques. Proficiency in Python and SQL, with experience using Git
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discipline, or an equivalent combination of experience and education/training. Demonstrated coding capability in R and/or Python. A strong understanding of vegetation communities in northern Australia