36 phd-position-for-research-in-computer-vision Fellowship positions at Monash University
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projects within the Korean Studies discipline. This position supports the strategic goals of the Monash University Korean Studies Research Hub by actively engaging in scholarly inquiry and enhancing
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skilled researcher who brings: A PhD in Computational Neuroscience, Physics, Engineering, Computer Science, Psychology, or a related discipline Strong quantitative and programming skills (preferably MATLAB
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., Native PAGE, cryo-EM) to GPCR biology Supporting administrative, operational, and financial aspects of the research program Collaborating within multidisciplinary research teams Working under broad
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for the role, as determined by the University. Enquiries: Associate Professor Yan Tat Wong, Head Electrical and Computer Systems Engineering T: +61 3 9905 1935 Position Description: Research Fellow Applications
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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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for the role, as determined by the University. Enquiries: Associate Professor Narelle Cox, Principal Research Fellow - Narelle.Cox@monash.edu Position Description: Research Assistant Applications Close: Sunday
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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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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for eating disorders. This position offers the opportunity to lead a multidisciplinary clinical research team in the delivery and dissemination of high-quality clinical trials co-designed with people with
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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