24 phd-position-in-image-processing-"Computer-Vision-Center" Fellowship positions at Monash University
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leading research in the development of cryo-EM methods to solve problems in an important class of challenging materials. This Level A Research Fellow position will contribute to the ARC Discovery Project
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will work with advanced structural biology and imaging technologies, including single particle cryogenic electron microscopy (cryoEM), cryogenic electron tomography (cryoET), and cryogenic plasma focused
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brain state, maintain barrier integrity, and contribute to neurological disease, including brain cancer and stroke. The lab integrates advanced imaging, omics approaches, mouse genetics and flow cytometry
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methods, and, more broadly, in the physics of imaging and materials science. The position will work in close collaboration with Professor Jian-Min Zuo, Director of the Monash Centre for Electron Microscopy
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, and, more broadly, in the physics of imaging and materials science. The position will utilise instruments in the Monash Centre for Electron Microscopy which has a powerful suite of instrumentation
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
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activities. The successful candidate will have: A PhD qualification in medicinal or organic chemistry Experience in the synthesis of small molecules An understanding of pharmacology and/or drug development
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The Opportunity This Research Fellow position offers an exciting opportunity to contribute to NHMRC-funded research programs focused on G protein-coupled receptor (GPCR) signalling and translational pharmacology
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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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Fellow and Research Assistant, this is a research-only position, and represents a unique opportunity to contribute to nationally significant, evidence-based research. As the successful candidate, you will