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Sciences, Political Sciences, Computer Sciences, or Engineering, with a strong track record (relative to opportunities) in research on disaster management, extreme contexts, and resilience including a body
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, Yong Loo Lin School of Medicine at the National University of Singapore (NUS) is seeking a motivated and experienced Research Fellow (RF) or Research Associate (RAssoc) to join our dynamic team in
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
most STs being designed worldwide. We wish to recruit a motivated experimentalist to generate key data regarding fusion-relevant degradation of novel centre-column shield materials. This includes but not
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provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want
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to people of all backgrounds and identities. For more information about staff equity at ANU, click here . For enquiries about the application process, or if you require reasonable adjustment to apply
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Proficiency in analytics, AI, and modern data science tools Excellent problem-solving, project coordination and communication skills A PhD or equivalent research experience (preferred) Experience with clinical
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discipline, including publications in high-quality peer-reviewed journals and presentations at major conferences. Demonstrated high-level mathematical and computer programming skills. Where PhD has been
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and postgraduate students. The School is also responsible for the supervision of ~120 PhD students, reflecting research strengths and expertise in the disciplines of Animal Biology, Computational
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and postgraduate students. The School is also responsible for the supervision of ~120 PhD students, reflecting research strengths and expertise in the disciplines of Animal Biology, Computational
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and technological disclosures writing. Job Requirements: PhD in Computer science, Computer engineering, or related field. Experience in privacy-preserving techniques’ research and implementation. Strong