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From Michael Small: http://small.eie.polyu.edu.hk/Homepage/Research_Positions.html
I now have several opportunities for postdoctoral researchers based both in Hong Kong and in South Australia. The Australian positions are based in Adelaide and are part of the Australian Centre for Plant Functional Genomics. The Hong Kong position (described below) is working in collaboration with researchers at the University of Melbourne and may also entail travel between Hong Kong and Australia.
For further details about any of these positions, please contact me directly.
I am entering into an extensive collaboration based in the Phenomics and Bioninformatics Research Centre of the School of Mathematics and Statistics at the University of South Australia. As a result of this, there are several post-doc. position available - detailed below.
A separate project, which will be based in Hong Kong, has been funded by the Hong Kong Research Grants Council. This project will examine various phenomena related to granular media, and I am also looking for gifted and independent post-doctoral researchers to work on applications of complex networks and nonlinear time series analysis in this area.
All of these positions will be in the general research area of complex systems, complex networks and nonlinear time series analysis (i.e. my primary interests), but each of them also has substantial room for you to chart your own path. All posts are for a minimum of 3 years.
In addition to these positions, an additional senior research fellowship (equiv. to Associate Professor in the HK/US) will soon be announced, as well as further research fellowships in the general area of complex systems and bioinformatics. Please contact me directly if you are interested in learning about these posts.
For more details about me and my research: return to my homepage.
The Phenomics and Bioinformatics Research Centre (PBRC), a joint initiative of the School of Mathematics and Statistics at the University of South Australia and the Australian Centre for Plant Functional Genomics (ACPFG) seeks a Research Associate, Research Fellow or a Senior Research Fellow. You will conduct research in image analysis related to a State Government’s Premier Science Research Fund project entitled “Plant image analysis for the development of stress tolerant crops”.
It is expected that you will also conduct research on other related projects of interest to the ACPFG in areas such as, but not limited to plant phenomics and high throughput data analysis and integration.
The aim of the project is to estimate the 3D shape and structure of plants from calibrated image pairs. The images are taken in a controlled environment - The Plant Accelerator, a unique facility recently unveiled at the University of Adelaide. For more information on the Plant Accelerator, please visit www.plantaccelerator.org.au
The project will involve sampling from a generative model of the plant's structure, evaluating samples against an image pair, and then re-sampling and re-evaluating against subsequent images.
For further details, contact me directly. To apply and to obtain more extensive position information, visit the University of South Australia’s Human Resources page
Research Associate/Research Fellow or Senior Research Fellow: 3D Modelling (University of South Australia)
This position is also under the auspices of the Phenomics and Bioinformatics Research Centre (PBRC), a joint initiative of the School of Mathematics and Statistics at the University of South Australia and the Australian Centre for Plant Functional Genomics (ACPFG). The successful candidate will conduct research in biostatistics related to a State Government’s Premier Science Research Fund project entitled “Plant image analysis for the development of stress tolerant crops”. It is expected that you will also conduct research on other statistics projects of interest to the Australian Centre for Plant Functional Genomics (ACPFG), in areas such as but not limited to, plant phenomics and genomics, plant genome evolution, comparative genomics and transcriptomics relevant to plant systems, and high throughput data analysis and integration.
Your responsibilities will include regular interaction with researchers and colleagues in the PBRC and ACPFG and active participation in the development of the PBRC. This includes involvement in seminar programs, participation in the preparation of grant applications and attendance at relevant conferences and workshops. Financial assistance for travel to conferences and visits to research labs is available.
For further details, contact me directly. To apply and to obtain more extensive position information, visit the University of South Australia’s Human Resources page
Research Associate/Research Fellow or Senior Research Fellow: Biostatistician (University of South Australia)
I now have several opportunities for postdoctoral researchers based both in Hong Kong and in South Australia. The Australian positions are based in Adelaide and are part of the Australian Centre for Plant Functional Genomics. The Hong Kong position (described below) is working in collaboration with researchers at the University of Melbourne and may also entail travel between Hong Kong and Australia.
For further details about any of these positions, please contact me directly.
I am entering into an extensive collaboration based in the Phenomics and Bioninformatics Research Centre of the School of Mathematics and Statistics at the University of South Australia. As a result of this, there are several post-doc. position available - detailed below.
A separate project, which will be based in Hong Kong, has been funded by the Hong Kong Research Grants Council. This project will examine various phenomena related to granular media, and I am also looking for gifted and independent post-doctoral researchers to work on applications of complex networks and nonlinear time series analysis in this area.
All of these positions will be in the general research area of complex systems, complex networks and nonlinear time series analysis (i.e. my primary interests), but each of them also has substantial room for you to chart your own path. All posts are for a minimum of 3 years.
In addition to these positions, an additional senior research fellowship (equiv. to Associate Professor in the HK/US) will soon be announced, as well as further research fellowships in the general area of complex systems and bioinformatics. Please contact me directly if you are interested in learning about these posts.
For more details about me and my research: return to my homepage.
A wide variety of natural, physical and social systems have been shown to exhibit complex network phenomena. In a complex system, the structural arrangement of individual components within the system is distributed in a heterogeneous and highly ordered fashion. The individual components, and the connections between them, may then give rise to a wide variety of coherent and emergent phenomena. Pattern formation in flocking animals, social dynamics and community behaviour, community spread of infectious diseases, panic in economic systems, and pattern formation in granular systems are all examples. Very recently, we have proposed techniques to allow these methods to be applied to the analysis of scalar time series observations of complex or chaotic system. This allows one to borrow tools from the field of complex network theory and apply them to the analysis of nonlinear time series. These new tools have been applied to provide new insight in the study of complex or chaotic time series problems. However, a strong analytical foundation for these methods is currently lacking. The focus of this project is on developing such a foundation and then advancing these techniques and applying them to a specific physical application. In this proposal we focus exclusively on the application to granular media. Granular systems consist of a large number of discrete particles each interacting with its geometric neighbours according to well understood physical laws. Nonetheless, the system as a whole can exhibit a wide variety of complex behaviours that are extremely difficult to predict, and for which there are few strategies to understand the underlying mechanisms. Granular systems occur in a wide variety of real physical systems - from industrial and construction processes to mining and geophysical sciences. Such systems have long been described as an archetype for emergent phenomena in a complex system. Recently, complex network analysis applied to this system (by the Melbourne collaborators) has shown that the evolution of shear stress can be understood based on the network structure. In this proposal we aim to apply a complimentary approach and explain the observed dynamics for the system under various dynamical regimes. In addition to the development of new tools from complex network theory for the analysis of generic time series data, we choose to study a specific physical system so that we can develop and advance these methods to the point where they can meaningfully be applied to such experimental systems.
The project is a collaboration between myself and Michael Tse at the Hong Kong Polytechnic University and Antoinette Tordesillas and David M Walker of the Department of Mathematics and Statistics at the University of Melbourne. The position will be based in Hong Kong, but may entail travel to Australia.
A PhD studentship could also be made available for exceptional prospective candidates.
For further details and to express your interest in this post, contact me directly.
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