13 postdoctoral-position-in-molecular-dynamic-simulation-self-assemble-polymer PhD positions at University of Adelaide
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contribution of 17% superannuation Fixed term position for 2 years with the possibility of extension as the project advances and full-time employment with industry partner. We are seeking a motivated individual
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cutting-edge research in biochemistry, molecular biology and plant science. The student will be supervised by Dr Tatiana Soares da Costa based at the University of Adelaide. Dr Tatiana Soares da Costa is
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development. The students will leverage and develop their skills and expertise in biochemistry, microbiology, molecular biology and/or plant science to pioneer strategies to prolong the effectiveness
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isothermal flow conditions relevant to bubble reactors using optical diagnostic methods, followed by image processing, which may include machine learning-based techniques. To analyse bubble dynamics from
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Technology will also be considered, but it will further be required that they also have a strong interest in operations and supply chain management background. Knowledge and experience of simulation and
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strong interest in operations and supply chain management background. Knowledge and experience of simulation and optimization methods would enhance the qualifications. In addition, experience in various
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, structural variations, and evolutionary dynamics. In this project we will aim to develop novel dynamic programming computational methods for pangenome assembly of diploid and polyploid crop species and
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work undertaken uses nuclear medicine-based techniques; or a field of academic study where the work undertaken advances knowledge in the use or application of molecular imaging to understand
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-viscous numbers and aspect ratio have been made, but the result is far away from the practical reservoir simulations. Fortunately, two approaches allow to solve the above-mentioned problems: (i) The current
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internship may include: Drawing on research literature and relevant theoretical frameworks to enhance the AI-driven recommendations of our platform. Undertaking fieldwork to gather qualitative and quantitative