286 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" research jobs in Australia
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relevant to integration of machine learning and mechanistic models, and development of engines for efficient processing and visualisation of large-scale datasets and system geographic information and
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recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in modelling infectious disease dynamics, population
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, machine learning, and causal inference frameworks that link genetic variants to cellular mechanisms and therapeutic opportunities. Our research spans immune biology, cardiac disease, neurodegeneration, and
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Intelligence or Machine Learning, with demonstrable analytical skills. Excellent research record evidenced by first-author publications in strong international journals and conferences. Proven experience in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
conference presentations. You will be able to work both independently and as part of a diverse research team. Experience with machine learning, array seismology, or planetary mission data analysis (such as
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related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or Econometrics (particularly applied micro, behavioural, or decision-focused modelling) Applied Mathematics
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immunology, including ELISA, flow cytometry, ELIspot Molecular biology expertise, including RNA extraction and RT-qPCR. High-level computer and database literacy skills, including the Microsoft Office suite
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with mental illness. Experience working with a range of computer systems and applications including Microsoft 365 products and SPSS (desirable). Excellent written and verbal communication skills, with a
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related misconduct to meet legal obligations. Position description: PD - Senior Research Fellow (522678).pdf To learn more about this opportunity, please contact Eng Chua at eng.chua@uwa.edu.au How
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researchers, or clinical trainees, and supporting their development in systematic reviews, evidence synthesis, epidemiology and research methods · strong computer literacy, including statistical software