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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 10 hours ago
infrastructure.Undertake fieldwork in tropical North Queensland. Perform and image behavioural presentations. Extract and analyse 3-dimensional object tracking data. Lead the preparation of high impact scientific
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clinician-assisted chronic pain program in AOD residential services. The second phase will examine the feasibility, acceptability and preliminary outcomes of incorporating the pain program into AOD
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reputed refereed journals and presenting at conferences. Technical expertise in programming (e.g. python) and experience with high-performance computing are highly desirable. Experience in machine learning
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Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning
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skills. Demonstrated ability to work independently and as part of a team with minimal supervision. Demonstrated capacity to deliver high-quality project outcomes in a timely manner. Computer programming
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infrastructure. Undertake fieldwork in tropical North Queensland. Perform and image behavioural presentations. Extract and analyse 3-dimensional object tracking data. Lead the preparation of high impact scientific
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research techniques, including chromatography or bioanalysis. Advanced technical capabilities in liquid chromatography - tandem mass spectrometry (LC-MS/MS) and/or high-performance liquid chromatography
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to lead and support high-quality data analysis, contribute to manuscript preparation, and supervise Honour and Higher Degree by Research students, as well as psychiatry registrars undertaking scholarly
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Global Burden of Disease (GBD) Study, supporting high-quality research on the burden of mental disorders across 204 countries and territories. This is a unique opportunity to apply your expertise in
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of publications in scientific journals. Excellent programming skills (e.g. Python, MATLAB, Fortran) and ideally also experience in High-Performance Computing. Demonstrated high level skills in