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for next-generation wireless technologies. Working closely with faculty and industry partners, the position contributes to the University’s mission of developing cutting-edge communication solutions and
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an advantage. The appointee will work with Prof. Wai Sze Chan on projects related to developing predictive models for health outcomes and digital behavioural interventions. Responsibilities include managing and
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Innovation (QAAFI) and be at the forefront of agricultural innovation. In this role, you will help shape the future of canola breeding by developing and refining cutting-edge predictive breeding methods in
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additional time off, plus a wide range of staff discounts on travel and more. Our health and wellbeing services, ongoing professional development opportunities, and inclusive, supportive culture make Deakin a
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apply? Through active involvement in these projects, you will further develop your skills in data collection, analysis, and interpretation related to toxicants, resuscitative adjuncts, and biological
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. The successful candidate will contribute to an interdisciplinary research programme developing computational models to understand molecular interactions relevant to antimicrobial systems, biomolecular interfaces
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Medical Research Institute (SAHMRI). This is an excellent opportunity for an individual eager to develop expertise in big data analytics, expand their methodological skillset, and contribute to impactful
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position to launch independent careers. Collaborations with the University of California San Francisco (UCSF) further expand the opportunities for professional and career development. NOMIS–Gladstone Fellows
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holder will develop and implement mechanistic models to analyse and predict the behaviour of pharmaceutical processes. Your work will address key challenges within these processes, constructing robust
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using available software packages (i.e., IMARIS, FIJI/ImageJ). Presentation of data in Adobe Illustrator for publication purposes. Maintain experimental record keeping of projects. Develop experimental