Development of translational 3D models for breast cancer research

Scholarships and Grants

Queensland University of Technology, Institute of Health and Biomedical Innovation (IHBI)

PhD Opportunity – Development of translational 3D models for breast cancer research
Queensland University of Technology, Brisbane, QLD Australia
Institute of Health and Biomedical Innovation

This project aims to develop biologically relevant 3D cell culture models to uncover the cellular interactions in triple-negative breast cancer. A major goal will be the elucidation of the cellular and chemical interactions in triple-negative breast cancer which control its development and metastasis using state of the art cell culture and characterisation techniques. The model will then be assessed by the application of chemotherapeutics to determine clinical relevance.

Interested applicants should send an application package (in a single PDF file) via email with the subject line “PhD Applicant” to Dr. Bray (

The application package should contain:
•Cover letter indicating your past experience and interest in the project
•Full CV including the contact details of two references

General Information
Supervisor: Dr. Laura Bray
Positions available: 1
Start Date: Optional
Duration: 3 years

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ARC Discovery Research Scholarship: Do Plants Hedge Their Bets? Modelling Optimal Plant Behaviour

Scholarships and Grants

University of Western Sydney, Graduate Research School

The Hawkesbury Institute for the Environment (HIE) is one of four institutes within Western Sydney University. HIE has rapidly become a research leader in ecosystem function and environmental responses to changing climate, with a strong reputation for delivering research outcomes of the highest quality. HIE houses a team of over 50 scientists with access to a unique suite of world-class research facilities. The ecosystem modelling group at HIE is widely recognised for their work in using experimental data to inform models of plant ecosystem function.

We are now seeking a highly motivated PhD student to contribute to a new Australian Research Council Discovery project that aims to resolve one of the most long-standing questions about the functioning of plants: how much of the carbon that they take up in photosynthesis do they use immediately for growth, and how much do they keep in reserve as insurance for the future? The answer to this question is urgently needed to understand how plants respond to environmental change, and how vulnerable they are to stresses such as drought.

The aim of the PhD project is to use experimental data and optimization approaches to develop models of how plants – and trees in particular – ‘should’ behave in risky or stressful environments. What is the optimal growth schedule for a tree that maximizes its fitness?

In the project, the student will first quantify how much carbon is kept in reserve in trees growing in a wide range of experimental conditions, capitalizing on a wealth of data from climate change experiments conducted at the HIE, including whole-tree warming experiments and EucFACE, the world’s only Free Air CO2 Enrichment experiment in mature native forest (
The student will then help develop and apply models of tree survival, and compare estimates of optimal storage from these models to the experimental data.

The student will be based at HIE but will also collaborate with Professor Roderick Dewar at The Australian National University and Professor Mat Williams at Edinburgh University (UK).WHAT DOES THE SCHOLARSHIP PROVIDE?
» Domestic students will receive a tax free stipend of $30,406 per annum and a funded place in the doctoral degree.
» International students will receive a tax free stipend of $30,406 per annum. Those with a strong track record may receive a fee waiver.
» Funding is available for project costs and conference travel.


  • We welcome applicants from a wide range of backgrounds, especially those with a strong grounding in mathematics, physics or computing who are keen to apply their quantitative skills to key questions in current biology. The successful applicant should:
  • Hold qualifications and experience equal to an Australian First Class Bachelor Honours degree or equivalent overseas qualifications
  • Demonstrate strong academic performance in mathematics
  • Have an interest in, or be willing to learn, plant biology and ecosystem ecology
  • Be enthusiastic and highly motivated to undertake further study at an advanced level
  • International applicants must also demonstrate a high level of proficiency in the English language. Please refer to the English language requirements at


Closing date: 17 June 2016.

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Master Grants for Biomedical engineering student-€1000/month

Scholarships and Grants

Master Grants for Biomedical engineering student-€1000/month The Ghent University  provides master grants to candidates from developing coutnries who wish to obtain a master’s degree at Ghent University. The grants are available for a list of […]

Biomedical Engineering Scholarship-John F. Davis Award

Scholarships and Grants

Biomedical Engineering Scholarship-John F. Davis Award  This award was established in 2003/2004 by John F. Davis, B.Eng. 1942. The scholarship is tenable at McGill University in Canada. It will be awarded every two years to […]

Australian Consortium for Classification Development PhD Scholarship

Scholarships and Grants

University of Western Sydney, Graduate Research School

There are a number of Clinical Classification & Coding and Terminology systems that are developed as international standards and adopted by various countries including Australia.
These include (but not limited to):

  • International Classification of Diseases (ICD), 
  • International Classification of Functioning, Disability and Health (ICF) 
  • International Classification of Health Interventions (ICHI) developed and maintained by WHO-World Health Organisation, and 
  • Systematized Nomenclature of Medicine-Clinical Terminology (SNOMED-CT) developed and maintained by IHTSDO-International Health Terminology Standards Development Organisation.

These classification and terminology systems are developed independently to each other and expected to work in harmony within clinical software. However due to lack of harmonisation between these clinical terminology and classification systems, there is much human involvement required in translating from one to another. Such human involvement creates inconsistencies and errors in coding.

With wider usage of software for management of health data, there is an urgent need for having computer-assisted harmonisation between these classification and terminology systems. Further these are evolving ontologies. Therefore, there is a greater need for keeping the ontological continuity as the core classification or terminological systems evolve.

This research is focused on involving machine learning techniques for the purpose extracting relevant ICD, ICHI and ICF codes, based on SNOMED-CT terms found in free text data that relates to a particular episode of care. Also other information such as

  • previous mapping of similar cases to ICD, ICHI or ICF codes
  • other non-clinical (age, sex) and historical data (chronic diabetes) relevant to the episode of care 
  • clinician or facility where patient was treated, etc., would require to be considered in improving the accuracy the algorithm.

What does the Scholarship provide?

  • Domestic students receive a tax-free stipend of up to $30,000 per annum for up to 3 years, and a funded place in the doctoral program.
  • International students receive a tax-free stipend up to $30,000 per annum. Outstanding students may be awarded a Tuition Fee Waiver valued at approximately $24,000 per annum for up to 3 years.
  • International students receive up to $3,267 towards the cost of an Overseas Student Single Health Care Policy.

Selection criteria

  • Applicants should hold an Australian First Class Bachelor Honours degree, OR equivalent qualifications and/or research experience (including research publications) in the field of computer science.
  • Knowledge or familiarity of clinical classification and terminology systems such as ICD, ICF, ICHI and SNOMED-CT.
  • High-level of interest and knowledge in machine learning theories and technologies. 
  • High-level of programming skills in object oriented programming languages. 
  • A Proven research record in computing, preferably related to health informatics.
  • International applicants must also demonstrate a high level of proficiency in the English language. Please refer to the University’s website for information about English Language Requirements.

Next steps

How to apply

  • Submit a scholarship application form, CV, and all other relevant supporting documentation to the Graduate Research School ( before the closing date.
  • Applicants should ensure that all relevant documents are certified according to Western Sydney University requirements. Incomplete applications will not be considered. 
  • The application form can be downloaded from the Graduate Research School’s Project Scholarships Page
  • If you have any queries regarding the application process or enrolment, please contact the Graduate Research School: 
  • Selected applicants will be required to attend an interview, either face to face, by Skype or similar technology.

 Applications will be considered until the position is filled. 

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