21 postdoctoral-modelling positions at Swinburne University of Technology in Australia
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numerical modelling framework to simulate how light and heat interact with the target body tissue, while also incorporating neural signalling dynamics to explore how light-based stimulation affects
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High academic and professional merit Fulbrighters have a record of high achievement in their chosen field, showcased through academic records, professional standing and recognition, as well as a through publications, exhibitions, performances, public lectures, or presentations. Strong program...
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: September 10, 2025 (8 p.m. eastern) Competition details Who can apply Researchers / Faculty members Banting Postdoctoral Fellowships The Banting Postdoctoral Fellowships program provides funding
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business case development and cost modelling to forecasting, variance analysis, and performance reporting. Acting as a trusted advisor to Project Managers and Portfolio Delivery Managers, you’ll help shape
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performance reporting and analysis to the Executive Group and Council. • Lead the modeling and production of University- wide load and revenue analysis and prepare recurring and ad-hoc load and revenue
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, simulation environments, and rapid prototyping. About You To be suitable for this role you will need to have experience in the below key accountabilities: · Strong background in modelling and simulation
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to the Executive Group and Council. • Lead the modeling and production of University- wide load and revenue analysis and prepare recurring and ad-hoc load and revenue reports including key metrics, trends and
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health setting Proven capability in risk assessment, crisis intervention, and case management High-level understanding of therapeutic approaches, supervision models, and mental health issues affecting
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education, driven by digital disruption, shifting student expectations, global competition, and evolving funding models, we are seeking a visionary academic leader as Pro Vice-Chancellor Academic Program
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. This position will focus on one key stream: understanding and improving the interaction between EVs and roadside barriers. This will involve: Modelling EV crash dynamics with conventional and SRB barriers