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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position through to March 2027 Base salary will be in the range $106,293.57 - $113,659.72 + 17% super (Academic Level A) Based at our St Lucia...
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Research Fellow – AI/Machine Learning in Pharmaceutical Data Job No.: 697007 Location: Clayton campus Employment Type: Full-time Duration: 11-month fixed-term appointment Remuneration: $86,195
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Research Fellow - Federated & Multimodal Learning Job No.: 695158 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $123,138 - $146,228 pa
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The Australian Plant Phenomics Network (APPN): Based at the School of Agriculture and Food Sustainability Full-time (100%), fixed-term position until 31 December 2027 Base salary will be in the range $83,698.91 - $111,431.10 + 17% Superannuation (Academic Level A) Based at our St Lucia...
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, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and
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are particularly interested in: machine learning for molecular and omics data, including representation learning for biological sequences and structures, and the integration of multiple omics layers machine learning
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research infrastructure. Apply advanced statistical, machine learning and data engineering methodologies to large-scale, longitudinal datasets, contributing to innovative melanoma and skin cancer research
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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.).While the position start date is flexible, the successful applicant must have completed
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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.). While the position start date is flexible, the successful applicant must have completed
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teaching spaces, and international collaboration opportunities. Learn more about Monash . Today, we have the momentum to create the future we need for generations to come. Accelerate your change here