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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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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) in FPGA design, machine learning or a
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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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student supervision, industry collaboration, grant development, and initiating novel research directions. Your key responsibilities will be to: conduct high-quality research independently and
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presentations for disseminating research and manuscripts for publication in high impact scientific journals assist in the supervision of undergraduate, master’s and PhD students within Professor Tricoli’s groups
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assist in the supervision of undergraduate, master's and PhD students within Professor Tricoli's groups work with other team members on establishing and maintaining best practice protocols for safe and
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an independent research portfolio, lead project design, contribute to competitive funding applications, and mentor students and junior researchers. Skills & Experience At (Level A) A PhD in biomedical sciences
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independent research initiatives and actively participate in the co-supervision of students. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect
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support the training and supervision of undergraduate and postgraduate research students support general laboratory operations, including managing inventories and addressing WHS requirements. About you The
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multilayer PCB, FPGA programming, embedded systems, and preferably ASIC-design. Knowledge in Systems Engineering, particularly in Space and Defence is highly regarded. You will also demonstrate personal