43 computer-vision-and-machine-learning Fellowship positions at Monash University in Australia
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projects involving multi-electrode array recordings in behaving animals, using techniques including electrophysiology, psychophysics, computational modelling and advanced quantitative analysis. This position
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outputs, publications, and presentations. In this role, you will design research frameworks, develop qualitative survey methodologies, and engage with media and social platforms to promote the program. You
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independently and as part of an interdisciplinary and cross-cultural team, possess excellent organisational and communication skills, and work collegially with other staff. Advanced computer skills, including
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programming (R or Stata preferred), and scientific computing Excellent problem-solving, planning and written communication skills Experience working with health-related data and modelling methods A
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within the Computational Neuroscience Laboratory and the Addiction and Impulsivity Research Group , this position offers the opportunity to lead all aspects of trial preparation and execution, including
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people who discover them The Opportunity The Research Fellow will be a motivated and talented computational scientist and a key member of Monash University ice sheet modelling research team and SAEF’s
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sits at the forefront of an international program aimed at improving the understanding and treatment of alcohol use disorder. This position will leads functional neuroimaging research and plays a key
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research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities. Learn more about Monash . Be part of our story. Work with us to #ChangeIt . Monash supports
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meaningful program of work that includes literature reviews, field research, data analysis and scientific writing. The role also involves preparing ethics applications and presenting research findings
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are seeking a Research Fellow to contribute to a project funded by the Australia Economic Accelerator (AEA) Ignite program, focusing on the design and integration of a novel point-of-care diagnostic platform