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frameworks (MOFs), and related materials using hybrid classical-quantum algorithms. A key component of the role involves using first-principles methods that capture strong electronic correlations, such as DFT
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Research Fellow in Electromagnetic Field Mapping via Scanning Transmission Electron Microscopy Job No.: 682389 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term
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alternative application methods.To discuss your specific requirements, please feel free to contact Bec Tucker - 0478 269 660 or send an email titled 'Reasonable Adjustments' to hr-careers@unimelb.edu.au .You
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to The Circle Back Initiative program, whereby we will respond to every applicant. If you are experiencing technical difficulties with your application, please email the Recruitment team or phone 03 5327 9756
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the largest computer vision and machine learning research group in Australia with over 180 members including academics, research staff and students. The AIML works on a mixture of fundamental and
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characterisations using impactors and liquid chromatography Strong planning, organisation, and computer literacy skills, with the ability to manage research projects and competing priorities effectively. Excellent
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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on the ‘Apply’ link at the top of this page. For further information about this position, please see the Position Description hyperlinked below or contact Dr Sara Long (Senior Research Fellow) via email sara.long
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adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion. Your employment is contingent upon the satisfactory completion
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other 2D materials fabrication and measurement, and/or (iii) electronic and/or optoelectronic device measurements. If you would like to join us in pushing the boundaries of scientific discovery and