24 parallel-computing-numerical-methods "Fields Institute" positions at Flinders University
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practices using a combination of numerical modelling, field-based research, data analysis and physical experimentation. You will contribute to: Developing and applying numerical models to investigate
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with ORSR. This PhD explores how fun operates as a core experiential concept shaping the quality of youth sport. Using both qualitative and quantitative methods, it will map the dimensions of fun as
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light sensitivity as a mechanism for PTSD vulnerability." This exciting project is supported by a multidisciplinary team and based at the Flinders Health and Medical Research Institute (FHMRI): Sleep
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laboratory and technical skills, with sound knowledge of research methods and a high level of accuracy and attention to detail. Strong organisational, computing and data management skills, including
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to 3.5 years (full-time). Access to academic and industry expertise through joint supervision. A supportive environment to learn leading-edge research methods and become an expert in your area. The
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delivery methods. The incumbent will publish high quality publications in Health Sciences and associated areas nationally and internationally and will obtain external competitive research grants
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teaching and committed to preparing students for successful careers in law and related fields. You are confident using contemporary teaching methods and digital learning technologies, and you are
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or practitioner who is passionate about teaching and committed to preparing students for successful careers in law and related fields. You are confident using contemporary teaching methods and
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and/or computing, with the ability to engage credibly with technical and academic stakeholders and understand emerging industry and workforce needs. Highly developed leadership and stakeholder
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, microbiology, environmental engineering, chemistry, or related fields. Hands-on experience with field sampling, contaminant analysis, environmental modelling, or microbial processes (depending on applicant