479 postdoc-in-thermal-network-of-the-physical-building uni jobs at Monash University
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Build and maintain strong relationships across internal and external networks What You’ll Bring A postgraduate qualification in a relevant field or extensive healthcare experience Proven expertise in
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colleagues. You will have a strong record of high-quality teaching, preferably in a tertiary setting, along with an interest in scholarly or research activity in learning design and an emerging network
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collaboration is essential, alongside an active research profile supported by publications, funding success, and professional networks. Experience in classroom teaching, current learning research, and
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collaboratively across education and service sectors. You will be skilled in curriculum development and postgraduate supervision, and possess an emerging research profile and professional network to support ongoing
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superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Buildings
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excellence across Australia and the Indo-Pacific. With over 86,000 students, 17,000 staff, and a network of more than 440,000 alumni, Monash is consistently ranked in the world’s top one per cent
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model (with work from home) and flexible arrangements available Kick-start your career with Monash! The Opportunity You’ll be joining Monash at an exciting time in our history as we aspire to make leading
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, strong and effective professional networks and the capability to build and maintain collaborative relationships with stakeholders. Underpinning your capabilities are your exemplary strategic judgement
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demonstrated ability to influence, negotiate and build consensus on complex and sensitive issues - engaging effectively with diverse internal and external stakeholders, including Indigenous communities
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cutting-edge AI methodologies, focusing on combining data-driven approaches with physics-informed models to tackle challenges in MRI reconstruction. By integrating MRI acquisition physics directly into