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cohort, validating that age, CA125, HE4, CEA, and systemic inflammatory or protein markers drive predictions in alignment with known oncological pathophysiology. LIME (Local Interpretable Model-agnostic
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reactions, catalyst surfaces and interfaces, reaction mechanisms, activity and selectivity develop reproducible atomistic simulation and high-throughput workflows using Python, ASE and relevant DFT software
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Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development
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STATA, R, SAS, PySpark and Python Previous experience in the management and analysis of linked health data, the production of statistical analysis plans and the use of GitHub Demonstrated ability
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. Python programming, or a willingness to learn. Higher degree student supervision. Strong initiative, resourcefulness and the ability to work effectively to deadlines. About UQ As part of the UQ community
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you a recent graduate or final-year student with strong Python foundations, an analytical mindset and an interest in solving business problems? The University of Sydney's Graduate Program is seeking
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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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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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your Python expertise HE0 8: $131,108 - $147,858 plus 17% Superannuation About the opportunity We are looking for two Analytics Specialists to step into pivotal roles at the forefront of advanced
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statistical software including Stata, R or SAS, python. Have an emerging publication track record with high impact publication(s) within biostatistics, cancer and health services research or another related