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Field
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that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful . We believe
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/electrical engineering, or a related field. Strong interest in automation and laboratory robotics. Basic experience in wet-lab microbiology techniques. Willingness to learn programming and computational
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-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning
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taking our Match My Skills quiz. Research Why QUT Explore Our research vision Equity and diversity Support for researchers Meet our experts Ethics and integrity Research jobs at QUT Our facilities
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outcomes that make significant contributions to improving the lives of others globally. Our overarching vision is to make a significant and long-lasting impact that changes the world around us, beginning in
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Mechanical, Production, Materials, Industrial or Robotics Engineering, Computer Science, or related discipline, or a similar degree with an equivalent academic level. Approval and Enrolment The scholarship
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that support spike-based processing and memory-efficient computation using SSMs, targeting edge-AI scenarios in wearables, robotics, or sensor networks. Research area and project description The project will co
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with programming (Python, MATLAB), background in aerospace, computer science, robotics, or electrical engineering graduates, hands on skills in implementation of fusion/learning based techniques in
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skills as well as good communication skills in English. You should have completed a two-year master's degree (120 ECTS points) in Mechanical, Production, Materials, Industrial or Robotics Engineering
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project, students will: Synthesise amphiphilic copolymer nanoparticles on an automated robotic platform. Automate the analysis of these nanoparticles via small angle X-ray scattering Make the system