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Field
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their evolution during catalytic operation and activation. You will apply advanced electron diffraction techniques (3DED, 4D-STEM tomography), atomic resolution STEM imaging (HAADF, ABF), EDX and EELS
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science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
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Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of
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-picture goals with practical implementation. Advanced skills in planning, securing funding, and coordinating resources to move projects forward will help you become a valuable contributor. This position is
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described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed
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the Monash Research Training Program (RTP) Stipend www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details Be inspired, every day Drive
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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, biophysics, and computational biology. You will work closely with an experienced team and collaborate with experts in molecular biology, hormonal signaling, microscopy, biomechanics, image processing and
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. Your project will explore Stream Finishing, a cutting-edge surface engineering technology that offers unmatched precision and control over traditional methods. You’ll investigate how process parameters
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the candidate enrolling in the Doctor of Philosophy (Health Sciences), program. The capacity to work both independently and as part of a team in a collaborative manner. Problem solving and organisational