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record of computer programming. Experience in numerical relativity and/or numerical simulation of quantum field-detector interaction Strong written and oral communication skills. Demonstrated ability
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(Academic Level A) Visa sponsorship may be available for this position Based at our St Lucia Campus - Brisbane About This Opportunity If you are passionate about computational modelling, thrive on solving
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
materials and systems. Research Fellow – Micro/Nano Manufacturing for Electrochemical Technologies Open to PhDs in Materials Science or Chemical/Electrical Engineering with a strong background on micro
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, with a specific focus on complex biological systems. The project aims to apply highly controlled optical trapping techniques to investigate cell–fluid interactions during macropinocytosis (“cell drinking
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
. This position is a fixed term appointment for a period of 2 years. Research Fellow – Electrocatalysis for Hydrogen Production Material Scientist or Chemical/Electrical Engineer - Catalysis Open to PhDs in
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the timing, scale, and rate of mammal declines in Australia. They will use critical inferences of past demographic change and high-performance computing to disentangle the ecological mechanisms that were
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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an opportunity to develop a strong research profile and gain national recognition in the field. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and
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assisted and interactively executed with the industry partner, with opportunities for collaboration and engagement within UQ and QUBIC. Key responsibilities will include: 1. Research Conduct research aimed
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-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing