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Researcher in FPGA-based AI Hardware Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion
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related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design of FPGA-based accelerators, high-level
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools
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nanotechnology-based approaches to modulate the immune system and create enhanced translational immunotherapy strategies in cancer. To be successful you will need: Completion of PhD (within last 5 years
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) A PhD in a related discipline, and/or relevant work experience. Skills in programming or scripting, sufficient to develop or modify codes used for data analysis and for materials modelling
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(or biomedical PhD with strong computational skills). Fluency in modern AI/ML and emerging paradigms (agents, explainability). Track record of computational solutions to biological problems. Clear communicator
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Fixed Term contract Remuneration: $113,911 base, plus 17% superannuation and leave loading Work rights required: Visa sponsorship is not available for this position. Candidates must hold full rights
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Base salary, Level A, $113,400 p.a - $121,054 p.a. + 17% superannuation About the opportunity The Faculty of Engineering are seeking to appoint a Postdoctoral Research Associate in surface engineering
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has: a PhD in a related or relevant field to this project design and conduct experiments collect and analyse data, including with the use of machine learning develop mathematical models of excavation
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Full time 20 month fixed opportunity. Located in the Civil Engineering Building on the Camperdown Campus Advance sustainable mining through granular material mechanics Base Salary Level A Step 6 - 8