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to grow and diversify the skills, knowledge and capability of all our staff. We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life
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are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff. We embrace flexibility as a key principle to allow our people to manage the changing
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skilled human operators must acquire and integrate information from multiple distributed sources (e.g., physical and informational environments) to coordinate cognitively (e.g., decision-making) and
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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a cohort of energy professionals with advanced multidisciplinary knowledge across engineering, IT and business and economics. The PhD program is intended to deepen students’ expertise, unlock
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with leading researchers in the field, ensures access to high quality research platforms and equips you with the skills and knowledge to make a substantial impact. A PhD involves extensive, independent
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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received funding through the SoPH Incentive Scheme. In-kind support will also be provided through collaborators from WA Mental Health Commission for domain-specific knowledge around mental health issues. As
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, pharmacists have undertaken AMS governance responsibilities and implemented changes. However, there is a marked lack of knowledge of the effectiveness of involving pharmacists in RACH AMS, specifically in
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to microscopic viewpoints, master his/her comprehensive and in-depth knowledge related to material science, physics, and chemistry. The PhD candidate will work with Professors Moses Tade, Zongping Shao, and Early