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-aneutronic fusion energy reactor concepts. For HB-11 Energy, the results will directly inform the company’s technology roadmap and contribute to balance-of-plant modelling to assess economic viability
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Job no:516954 Work type:Fixed term - Part-time Campus:Adelaide Categories:Level B, Faculty of Sciences, Engineering and Technology Level B $114,917 to $135,932 per annum plus an employer
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
Geotechnical Engineering, Civil Engineering, or a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian
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The Role Applications are invited for a Postdoctoral Research Associate position in the Department of Engineering, with a focus on digital twin modelling for marine engines and propulsion systems
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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. However, while the effects of high doses of IR are well understood in a variety of models, including colon cancer [1], a wide variety of issues and questions remain concerning low dose effects, for which
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., conferences, workshops, white papers). Is Your profile described below? Are you our future colleague? Apply now! Required Qualifications PhD degree in System Engineering, Software Engineering, Model-Driven
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genetically engineered mouse models of lung cancer Collaborating with multidisciplinary teams within and beyond home institution Collaborate with bioinformaticians and clinicians for translational studies Write
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, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and working with large ensembles of climate/weather model output are advantages
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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational