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to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc
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. Collect research data through various research methods including systematic review and co-design focus groups Analyse and interpret data Contribute to writing bids for research funding Apply knowledge in a
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discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl
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and energy materials. Preference will be given to those with knowledge of computer programming, AI and/or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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supervision of Honours and HDR students, and facilitate engagement opportunities for HDR supervisees. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic
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Science & Engineering, Chemistry, Electrochemistry, or Data Science/AI with a strong background in materials applications Technical Skills & Knowledge Experience in membrane fabrication and nanomaterials
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description; A detailed curriculum vitae; 2 published articles or writing samples; and 3 reference letters. We regret that only shortlisted candidates will be notified. For further information about RSIS
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molecular techniques, genomic approaches, and genetic and xenograft mouse models. For more information on the research lab please visit here . As a successful candidate you will: · Design and conduct
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positively in the research activity of the NIHR Mental Health Leadership Award, focusing on children and young people, under the direction of the Mental Health Leader. Data collection and analysis, vital
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will hold experience with PCB design, electronic prototyping, and hardware testing, as well as with developing data acquisition systems and hardware-software interfaces. Application processs As part of