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-carbon electric power systems, taking into account wake interactions between individual wind turbines. The project focus is on how to generate and utilize reduced-complexity predictive models for windfarm
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or protein-lipid interactions and/or post translational modifications, DNA mutagenesis studies, protein modelling or protein expression systems. The ability to work effectively under limited
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of optical technologies. You may also: Have expertise in theoretical modelling and simulation of optical devices. Possess experience in experimental semiconductor device physics and electronics. Demonstrate
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of optical technologies. You may also: Have expertise in theoretical modelling and simulation of optical devices. Possess experience in experimental semiconductor device physics and electronics. Demonstrate
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ARC Industry Laureate Post Doctoral Research Associate in Effecting Solutions for Risk to Remote Ind
. You may be a great fit if: You are a dedicated researcher with a PhD in cultural materials conservation or a related field, possessing strong cross-cultural literacy and the ability to work
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University. This 1-year position (with a possible 6-month extension) offers a unique opportunity to study the electronic structure and reactivity of gold nanomaterials using quantum chemistry. The successful
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display workflows, or related molecular biology experience expertise in chemical synthesis of peptides and amino acids, including non-proteinogenic modifications ability to operate and maintain peptide
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report writing, with the ability to draw clear conclusions from complex data. strong numeracy and statistical analysis skills, with a background in mathematics and/or statistics. required skills: computer
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languages (C, C++, C#, Python, Matlab), experience with machine learning in robotics or computer vision, a desire to advance resilient, introspective processing architectures in robotics, a desire to work
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discipline experience in planning synthetic routes and completing multi-step syntheses for a variety of target small molecules knowledge in medicinal chemistry and structure-based drug design ability