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PhD Studentship in Biomedical Imaging Technology- bioinformatics and big data

Employer
Global Academy Jobs
Location
Australia
Closing date
Mar 20, 2019

Job Details

The Australian Research Council Training Centre for Innovation in Biomedical Imaging Technology , at the University of Queensland, is looking for high calibre enthusiastic postgraduate students who:
  • have studied Engineering, Physics, Computer science degrees or equivalent;
  • are interested in the Biomedical Imaging Technologies and developing new informatics tools for multimodal imaging and genomic data;
  • want to obtain relevant skills and exposure to industry;
  • want to learn about commercialisation; and,
  • have a desire to be involved in academic, clinical and/or industry focused research.

We have exciting opportunities to work with world leading academic researchers and industrial partners focused on the development and translation of new methodologies to the clinic.

Applications are invited from outstanding and enthusiastic graduates who have an interest, and preferably a background, in Biomedical Imaging Technology. They should have basic understanding of object orientated coding principles and basis knowledge and experience in a programming language: C++, Matlab, Python or equivalent.

Successful students will have the opportunity to:
  • Learn about the trends occurring in diagnostic imaging in the age of Personalised Medicine
  • Learn about the use of Artificial Intelligence concepts such as machine learning and big data analytics in real world problems; and,
  • Undertake internships with our industrial partners.

CIBIT is a multidisciplinary collaboration between researchers at The University of Queensland's Centre for Advanced Imaging and partners in the Medical Technologies and Pharmaceutical industry. The purpose of this national Centre is to provide research training in the development and application of novel diagnostics, therapeutics and theranostics (combined therapeutics and diagnostics) in conjunction with industry partners.

CIBIT's research encompasses two major themes; this project will be specifically related to Theme 2.

Theme 1: Diagnostics, therapeutics and theranostics for Precision Medicine in cancer.

Theme 2: Harnessing the digital revolution to improve diagnostic imaging cost-effectively.

Further details can be found on the CIBIT website: http://www.cibit.org.au/ .

The Centre for Advanced Imaging (CAI) , a strategic initiative of The University of Queensland, is a leading imaging research facility in Australia, and one of a handful in the world. It brings together the skills of a critical mass of researchers and state-of-the-art, world- or Australian-first imaging research instruments including NMR, EPR, MRI, PET, CT, optical imaging and an on-site cyclotron and radiochemistry facilities. CAI hosts the largest Node of the National Imaging Facility (NIF) ( http://anif.org.au/ ). CAI conducts research across the spectrum from development of new imaging technologies, analysis of molecular structure, synthesis of MRI and PET biomarkers targeting fundamental biological processes to studies of major diseases affecting a range of organ systems, through to imaging economically significant agricultural animals and plant material, minerals and construction materials. A multidisciplinary, cohesive student community have come together from all over the globe to CAI to undertake research training. The Centre has an active student association (STAC) that provides many opportunities for networking and professional development, a supportive mentoring structure that will enhance personal and professional growth, an annual symposium and a well-attended weekly seminar program which attracts high profile National and International speakers. Further details on the Centre for Advanced Imaging and ongoing research can be found on CAI's website http://www.cai.uq.edu.au/ . CAI is committed to supporting the career growth of female researchers and have a number of initiatives to support females in developing and achieving a fulfilling research career at the institute. For more information, please visit our CAI Women in Imaging website at https://cai.centre.uq.edu.au/women-imaging .

Selection criteria

To be eligible to apply you must meet the entry requirements for Higher Degrees by Research at UQ, please visit the Graduate School's website .

See the terms and conditions for more information.

For more information regarding this Scholarship and to apply please follow the link below.

Company

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