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experience in one or more of the following areas: machine learning, reinforcement learning, algorithmic trading, or data-driven modelling. Excellent communication skills: Solid written and verbal communication
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pathophysiology. Significant expertise in these areas is essential, and experience in artificial intelligence, machine learning, or simulation as applied to medical imaging will be highly regarded. As a key member
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neurocritical care research The Opportunity We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis
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will be highly organised, detail-oriented, and capable of managing multiple priorities while delivering accurate, timely outcomes both independently and in a team environment. Advanced computer skills
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 10 days ago
delivering accurate, timely outcomes both independently and in a team environment. Advanced computer skills are required, including proficiency in MS Office (particularly Excel), experience with research
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. Collaborative team player, comfortable working with PhDs, researchers, and programmers Expertise in large scale Southern Ocean circulation and coupled ocean-atmosphere modelling Full-time, 4.5-year fixed-term
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workload as necessary Desirable selection criteria • Previous research assistant experience, including data entry, data cleaning and data analysis • Master of Research or PhD About Us The Faculty of Medicine
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools
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an outstanding environment in which to develop innovative research in mathematical and statistical data science, with opportunities for collaborations with machine learning and bioinformatics researchers in
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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using