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Field
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encephalitis, and related neurological disorders. The project combines human induced pluripotent stem cell (hiPSC) technology, brain organoids, genome engineering, advanced imaging, systems immunology, and high
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vision, machine learning, computational imaging, surgical data science, biomedical engineering, medical image computing or a closely related discipline. They should have strong knowledge of AI, computer
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instrumentation, physical modelling, sensor technology, or experimental validation is advantageous. Experience with three-dimensional modelling, computer-aided design (CAD), or additive manufacturing (3D printing
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Role type: Full-time; Fixed term (12 months) Faculty: Science School: School of BioSciences Salary: Level A: AUD $87,266 - $118,416 p.a. (*PhD entry level $110,319) Level B: AUD $124,656 - $148,023
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physicians. Career opportunities upon completion of the postdoctoral training include: Clinical medical physics Medical imaging computer programming Radiation therapy computer programming As a successful
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Science and Engineering, or a related discipline Research experience in optical imaging, structured-light three-dimensional reconstruction, computational imaging, computer vision, machine learning
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of maturity, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development
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requirements PhD in Cell Biology, Molecular Biology, Biotechnology, Biomedical Sciences, Tissue Engineering, Regenerative Medicine, Biomaterials, or a closely related field. Documented experience with mammalian
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, and laboratory operations. Job Requirements: PhD in Electrical Engineering, Computer Engineering, Physics, or a closely related discipline. At least three years of relevant research experience in
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology