45 phd-position-in-computer-vision Fellowship positions at Monash University in Australia
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Iadine Chades, Director Environmental Informatics Hub, iadine.chades@monash.edu or (+61) 0418 684 902 Position Description: Research Fellow Applications Close: Sunday 7 September, 11:55pm AEST Supporting
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Group’s research programme for the development of therapeutic biomolecules. You will work as part of a team using cutting edge synthetic techniques to develop safer drug targeting systems based
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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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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an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data
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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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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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. Amandeep Kaur, you will contribute to a vibrant research program centered on the design and development of novel fluorescent probes for super-resolution imaging—a powerful technique revolutionizing how we
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Join Monash University’s cutting‑edge mathematical research in the Faculty of Science as a Research Fellow and contribute to computational and theoretical aspects of Dynamical Systems. This position will
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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