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curiosity, reliability, and a collaborative approach to shared research, with a commitment to developing an independent research identity. Minimum Qualifications PhD in computer science, machine learning
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tools using the CRISPR-Cas9 system, etc. Qualifications Qualifications Required Qualifications: 1) Ph.D. in ecosystem ecology, Earth system science, computer science, or other relevant disciplines
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Required Qualifications* PhD in civil/environmental engineering, hydrology, hydraulics, water resources engineering, GIS, remote sensing, atmospheric sciences, climate science, computer science, data
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Hold a PhD degree in a natural sciences or engineering (NSE) discipline (includes computer science and mathematics). Secure a supervisor (and co-supervisor, if applicable) who has a full-time
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% superannuation Closing date 25 Aug 2026 View more categories View less categories Academic Discipline Computer Science , Economics & Econometrics , Engineering & Technology , Mathematics & Statistics , Physical
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, Statistics, Mathematics, Computer Science, or a related quantitative field by the time of appointment Strong methodological and computational skills Demonstrated interest or experience in health-related
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Qualifications* - PhD in Mechanical Engineering, Robotics, Computer Science, Electrical Engineering, or a related field - Strong background in computer vision and/or machine learning, with hands-on
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: PhD in biology or computer science or similar. Responsibilities • Conducts lab research under the guidance of the supervisor(s). • Participates in lab meetings, shares research findings, and engages
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stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving
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Neuroscience, Biomedical Engineering, Psychology, Computer Science, Medical Physics, or a related field • Evidence of research productivity, including peer-reviewed publications • Strong quantitative and