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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
be based in the School of Medicine and Psychology, with strong links to the School of Computing within the Data Science and Analytics cluster. The successful candidate(s) will contribute
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strong data analytical skills, communication and interpersonal skills. Key Competencies: Proficient in Ansys Fluent or FDS Simulation Strong foundation in Fluid Dynamics Able to work independently with
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researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks. Discussion and study recent papers and baseline codes in this field. Report to advisor and the team
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teaching challenges of UM6P, on green and environmental chemistry applied to all aspects of chemical sciences: organic and inorganic chemistry, analytical chemistry, chemical biology, biochemical, and
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, including: Neuroscience; Psychology; Counselling; Rehabilitation Counselling; Art Therapy; Family Therapy; Public Health; Digital Health and Analytics; Health Information Management; and Ergonomics, Safety
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. Previous experience of sign language recognition and translation would be advantageous would experience of supervising research. They should have good analytical and programming skills and experience
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data from our ongoing clinical trial studies and larger datasets from systemic sclerosis and other fibrotic diseases. Complementing the analytical work by wet lab experiments to validate findings from
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that all SUMIT data needs are met and is to the highest ethical standards. They will undertake data collection and anonymisation, data analysis, dissemination and community outreach activities, prepare
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close collaboration with SUMIT activity leads/partners and relevant stakeholders in the region. They will ensure that all SUMIT data needs are met and is to the highest ethical standards. They will
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the region. They will ensure that all SUMIT data needs are met and is to the highest ethical standards. They will undertake data collection and anonymisation, data analysis, dissemination and community