31 phd-position-for-fully-funded-reserch-in-computer-vision Fellowship positions at Monash University
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outputs of a team dedicated to translating discovery into meaningful impact for people living with Friedreich Ataxia. We are seeking someone with a PhD in computer engineering, biomedical engineering
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a Research Fellow who will contribute
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Iadine Chades, Director Environmental Informatics Hub, iadine.chades@monash.edu or +61 418 684 902 Position Description: Research Fellow Applications Close: Monday 6 October 2025, 11:55pm AEDT Supporting
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international peers working on the program, industry and government stakeholders, and funding bodies. Exploring, leading and coordinating opportunities for new research proposals, initiatives, or collaborations
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extraordinary ideas - and the people who discover them The Opportunity Monash University, in Melbourne Australia, is seeking an outstanding candidate for a postdoctoral research fellowship position in the School
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Participate in seminars, workshops, and conferences related to combinatorics and graph theory The successful candidate will hold a PhD in Mathematics or a closely related discipline, with a strong background in
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algorithms and techniques and design, implement, test, and maintain software/tools embodying those methods. You will prepare and submit grant proposals to external funding bodies. This position will also
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program that advances the understanding within the scientific fields of brain and mental health. This position will contribute to the research priorities of the Turner Institute for Brain and Mental Health
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The Opportunity This Research Fellow position offers an exceptional opportunity to contribute to an NHMRC Ideas Grant investigating G protein-coupled estrogen receptor (GPER) signalling and identify novel selective
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. We are currently seeking a Research Fellow with experience in AI and machine learning research and development, with a focus on any or all of following application areas: Computer vision Generative AI