19 phd-in-mathematical-modelling-population Fellowship positions at University of Adelaide
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you will need: A PhD in Quantum Physics, good knowledge in the Physics of Quantum devices. Demonstrated knowledge and experience in Advanced Physical Models such as the ones typical used in Many Body
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to global conservation science. To be successful you will need: A PhD in quantitative ecology, quantitative conservation biology, applied mathematics or a related Discipline Publication record in the relevant
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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have a PhD in Computer Science (or be able to demonstrate equivalent research experience in modelling and simulation, software engineering research) and possess a deep and demonstrable knowledge
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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the financial sector. Regular progress reports and presentations to both AIML and CommBank stakeholders. To be successful you will need: A PhD in Mathematics, Computer Science, Engineering or other Machine
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to develop their research expertise relevant to their particular field of research. This position is funded by the ASIC Defence Trailblazer Grant. To be successful you will need: A PhD in Mathematics, Computer
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or nearly completed PhD graduate with experience in protein biochemistry to join the Herbicide and Antimicrobial Innovation Laboratory led by ARC Future Fellow Dr Tatiana Soares da Costa. Working
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Postdoctoral Research Fellow, you will play a key role in advancing genetic research in weeds and plants, applying molecular techniques and statistical analysis to understanding the evolution of weed populations
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the expertise in repair and rehabilitation of structures with advanced materials, construction-grade waste materials and experience in experimentation and modelling of structures or structural elements. This all