24 molecular-modeling-or-molecular-dynamic-simulation research jobs at University of Adelaide
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disciplines of molecular & cellular biology; ecology & environmental sciences; and genetics & evolution, delivering undergraduate and postgraduate education, training and research with both national relevance
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characterization. Expertise in the development and application of in-situ or operando techniques to investigate interfacial phenomena at the molecular or atomic scale is essential. The role requires an individual
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-technical audiences and engage in stakeholder or end-user consultation. DESIRED CHARACTERISTICS: Demonstrated experience in models of opinion dynamics, Bayesian reasoning models, natural language processing
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Sciences, Plant Molecular Biology, Plant Synthetic Biology, Plant Biochemistry or related subject. Demonstrated skills in plant molecular biology and biochemistry technique, including plant transformation
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enthusiastic individual to join our dynamic team and contribute their unique skills. The Plant Accelerator® has a range of automated phenotyping systems collecting water use data and images over time, as
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quantitative methodologies, especially for instance in the areas of econometrics (microeconometrics), statistics, and economic modelling. Demonstrated knowledge of statistical and econometrics software packages
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multi-agent decision making in contested and dynamic environments, involving extensively applied work built on a strong mathematical foundation at the intersection of data science, data fusion, decision
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splitting and C–N coupling reactions. Work includes computational modeling of carbon-based materials, conducting simulations to understand reaction mechanisms, and developing and applying machine learning
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closely with an industry partner, you will generate cutting-edge insights into protein structures and protein-ligand interactions using in silico approaches such as bioinformatics, modelling and docking
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). Proficiency in numerical modelling, data analysis and instrument control in languages such as Matlab, Python, C/C++, etc. Familiarity with sensor technologies and applications, machine learning, and electronics