13 postdoctoral-biomedical-signal-processing PhD positions at University of Adelaide in Australia
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to distributed protection, under the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The applicant will work with our partners Praetorian
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recycling: Project 1 (2 PhD students): Development and optimisation of DES battery recycling process - These projects aim to improve the DES-based battery recycling processes, focusing on investigating
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at high temperature, co-producing black carbons for carbon storage or other uses. Utilising renewable thermal energy to drive the pyrolysis process can further reduce the carbon intensity of hydrogen production. In
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encompassing postdoctoral researchers, PhD and Honours students, and collaborate with national and international researchers in academia and industry. Eligibility: Must be an Australian/New Zealand Citizen
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of Health and Medical Sciences within the Adelaide Medical School or in the School of Biomedical Sciences (with effect from 1 January 2025); Undertaking research in medical studies*; The recipient of a major
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teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Enjoy an outstanding career environment We offer a uniquely rewarding
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research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Enjoy an outstanding career environment We
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an area aligned with the proposed research internship project More information about University of Adelaide's Research Internships is available here . Application Process: To apply, please email the
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project More information about University of Adelaide's Research Internships is available here . Application Process: To apply, please email the following documents to hdr_internships@adelaide.edu.au (HDR
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advances in process-based crop models such as APSIM, their integration often remains limited. This project proposes to get more out of on-farm data streams and process models through their more formal