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setting. Evidence of contributions towards successfully obtaining external research funding. We recognise that candidates may bring different strengths and experiences. The following criteria are desirable
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operations. Knowledge and understanding of BIND DNS, Linux systems and automation tools (Ansible, Python) would be an advantage. About Monash University At Monash , work feels different. There’s a sense of
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Familiarity with Python and Callista data is desirable About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where
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Huntington’s disease neuroimaging machine-learning models. The position will design, build and document a responsive, serverless platform enabling Python-based models, including scikit-learn, LightGBM and
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be used to combine these datasets while accounting for their different spatial scales, uncertainties and sampling frequencies. Machine-learning methods may also be explored for retrieval, bias
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expertise developing, validating and deploying advanced statistical and machine learning models using Python, R, or similar programming languages in a research environment. Experience working with melanoma
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, or an equivalent combination of experience and training. Experience designing, developing, and supporting complex software applications and systems. Strong Python development skills, including
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Python scripts, calibrate specialised instrumentation and solve technical challenges that directly support researchers conducting experiments in a unique outdoor laboratory. Working alongside researchers
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) statistics and data science Experience with mathematical modelling (e.g., linear algebra, linear models methodologies) Demonstrated programming skills in C/C++, Python, R or comparable languages. Experience
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to research that makes a difference. Essential Selection Criteria (Level A and Level B) A master's qualification or above, with demonstrable experience in data science supporting research programs, from data