ARDC Research Link Australia Research Link Australia   BETA Research
Link
Australia
  • ARDC Newsletter Subscribe
  • Contact Us
  • Home
  • About
  • Feedback
  • Explore Collaborations
  • Researcher
  • Funded Activity
  • Organisation
  • Researcher
  • Funded Activity
  • Organisation
  • Researcher
  • Funded Activity
  • Organisation

Need help searching? View our Search Guide.

Advanced Search

Current Selection
Australian State/Territory : WA
Research Topic : Microarray analysis
Scheme : ARC Future Fellowships
Clear All
Filter by Field of Research
Applied Mathematics (2)
Approximation Theory and Asymptotic Methods (1)
Biochemistry and Cell Biology not elsewhere classified (1)
Electrical and Electronic Engineering (1)
Gene Expression (incl. Microarray and other genome-wide approaches) (1)
Genetics (1)
Numerical Solution of Differential and Integral Equations (1)
Operator Algebras and Functional Analysis (1)
Signal Processing (1)
Stochastic Analysis And Modelling (1)
Stochastic Analysis and Modelling (1)
Systems Theory And Control (1)
Filter by Socio-Economic Objective
Expanding Knowledge in Engineering (2)
Air transport (1)
Combined operations (1)
Expanding Knowledge in Technology (1)
Expanding Knowledge in the Biological Sciences (1)
Expanding Knowledge in the Mathematical Sciences (1)
Filter by Funding Provider
Australian Research Council (4)
Filter by Status
Active (2)
Closed (2)
Filter by Scheme
ARC Future Fellowships (4)
Filter by Country
Australia (4)
Filter by Australian State/Territory
WA (4)
VIC (1)
  • Researchers (17)
  • Funded Activities (4)
  • Organisations (6)
  • Active Funded Activity

    ARC Future Fellowships - Grant ID: FT180100204

    Funder
    Australian Research Council
    Funding Amount
    $878,125.00
    Summary
    An integrated molecular approach to human gene regulation. This proposal aims to reveal how the interaction of nuclear RNA and protein molecules control gene regulation in the face of cell stress. To understand how genetic variation leads to changes in the expression of genes, we need new insights into the fundamental principles underpinning complex gene regulatory systems. Building on the discovery of paraspeckles, novel gene regulatory structures, this project will yield insights into gene reg .... An integrated molecular approach to human gene regulation. This proposal aims to reveal how the interaction of nuclear RNA and protein molecules control gene regulation in the face of cell stress. To understand how genetic variation leads to changes in the expression of genes, we need new insights into the fundamental principles underpinning complex gene regulatory systems. Building on the discovery of paraspeckles, novel gene regulatory structures, this project will yield insights into gene regulation that will help fill these knowledge gaps. This will provide a more comprehensive understanding of RNA-mediated gene regulation, and will open up new research opportunities to target RNA based gene regulatory complexes.
    Read more Read less
    More information
    Funded Activity

    ARC Future Fellowships - Grant ID: FT0991854

    Funder
    Australian Research Council
    Funding Amount
    $788,800.00
    Summary
    Optimal Control of Multi-Object System. Better understanding of multi-object systems developed from this research, in particular, optimal control algorithms for multi-object systems have several significant socio-economic benefits. Application areas that benefits from our research include aerospace applications such as radar, sonar, guidance, navigation, and air traffic control and non-aerospace areas such as image processing, oceanography autonomous vehicles and robotics, remote sensing, and bi .... Optimal Control of Multi-Object System. Better understanding of multi-object systems developed from this research, in particular, optimal control algorithms for multi-object systems have several significant socio-economic benefits. Application areas that benefits from our research include aerospace applications such as radar, sonar, guidance, navigation, and air traffic control and non-aerospace areas such as image processing, oceanography autonomous vehicles and robotics, remote sensing, and biomedical research. The sensor network discipline also stand to benefit from the understanding of multi-object system and control framework.
    Read more Read less
    More information
    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT210100506

    Funder
    Australian Research Council
    Funding Amount
    $1,011,851.00
    Summary
    A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, th .... A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, this project seeks to develop new distributed solutions for statistical estimation, which are specifically designed for dynamic systems with multiple object states, and are inherently scalable and robust. The potential benefits include new technologies for smart cities, autonomous infrastructure, and digital productivity.
    Read more Read less
    More information
    Funded Activity

    ARC Future Fellowships - Grant ID: FT140101112

    Funder
    Australian Research Council
    Funding Amount
    $726,552.00
    Summary
    Novel nonlinear functional analysis methods for singular and impulsive boundary value problems. This project aims to develop innovative functional analysis theories and methods to study various complex nonlinear boundary value problems, with particular focus on singular and impulsive problems. The outcomes of this project aims to enhance Australia’s capability of tackling complex nonlinear science and engineering problems using sophisticated mathematical methods. This project aims to also provid .... Novel nonlinear functional analysis methods for singular and impulsive boundary value problems. This project aims to develop innovative functional analysis theories and methods to study various complex nonlinear boundary value problems, with particular focus on singular and impulsive problems. The outcomes of this project aims to enhance Australia’s capability of tackling complex nonlinear science and engineering problems using sophisticated mathematical methods. This project aims to also provide engineers and scientists with a theoretical base and simulation technique for the study and optimal control of impulsive systems and processes involving nonlinear singularity.
    Read more Read less
    More information

    Showing 1-4 of 4 Funded Activites

    Advanced Search

    Advanced search on the Researcher index.

    Advanced search on the Funded Activity index.

    Advanced search on the Organisation index.

    National Collaborative Research Infrastructure Strategy

    The Australian Research Data Commons is enabled by NCRIS.

    ARDC CONNECT NEWSLETTER

    Subscribe to the ARDC Connect Newsletter to keep up-to-date with the latest digital research news, events, resources, career opportunities and more.

    Subscribe

    Quick Links

    • Home
    • About Research Link Australia
    • Product Roadmap
    • Documentation
    • Disclaimer
    • Contact ARDC

    We acknowledge and celebrate the First Australians on whose traditional lands we live and work, and we pay our respects to Elders past, present and emerging.

    Copyright © ARDC. ACN 633 798 857 Terms and Conditions Privacy Policy Accessibility Statement
    Top
    Quick Feedback