General Information / Provisions: To continue its mission of promoting mutual understanding between the people of the United States and Thailand through educational exchange which has been successfully implemented throughout the past five decades, the Thailand-United States Educational Foundation (Fulbright) announces its annual competition for "FULBRIGHT SCHOLARSHIPS" to qualified Thai individuals for study towards the master’s degree in the United States.
Grants are normally for one academic year. Grantees who require more than one year to complete the master's degree are expected to find support from other sources for their study program in the United States beyond the initial year. Renewal of the grants will be considered on a case by case basis.
Grants are intended to cover costs of tuition and fees, books and educational supplies, maintenance allowance, insurance coverage and round-trip international travel expenses from Thailand to the United States. Some of the grants may be combined with tuition waivers or other financial aid from appropriate institutions.
Awards will be offered in a broad variety of fields with the exception of medicine, public health, nursing and allied subjects.
Fulbright policy states that "Students already in the United States are normally ineligible to apply." Furthermore, grantees may not commence their studies in the U.S. before grant year starts.
ELIGIBILITY
An applicant must :
1. be a Thai citizen in good health*;
2. have completed all requirements for a bachelor’s degree from a university in Thailand at the time of interview (Applicants with working experience are encouraged to apply.);
3. have at least a cumulative GPA of 3.0 or equivalent on transcript of academic performance;
4. have a paper-based TOEFL score of 550 or above (or at least 213 from a computer-based TOEFL test), taken within 2 years from the date of application.**
5. be in Thailand for the interview.
* Individuals holding U.S. immigrant visas or permanent U.S. resident cards (green cards), or dual (Thai and U.S.) citizenship are not eligible for Fulbright scholarships to Thai citizens. ** For TOEFL examination, please contact the Institute of international Education, Maneeya Center North, 6th Floor , 518/3 Ploenchit Road , Pathumwan , Bangkok 10330 , Tel. 02-652-0653
PhD Scholarship - Statistical Genetics/Bioinformatics
QIMR, Brisbane, AustraliaQueensland Institute of Medical Research (QIMR), Brisbane, Australia / University of Queensland, Brisbane, Australia.
Primary supervisor: Dr Stuart Macgregor
Applications: open until position filled.
Stipend: Fully funded stipend available for ‘home’ applicant (AUS$20K per annum tax free, rising to AUS$25K subject to satisfactory progress). ‘home’ applicant means Australian/New Zealand citizens/permanent residents. International students are still eligible for AUS$20K stipend but may need to pay additional tuition fees please contact stuart.macgregor@qimr.edu.au for further details.
Funding is tenable for 3 years.
Title: Statistical and computational methods for gene mapping
Description:The project will focus on statistical and computational methods for locating disease susceptibility genes. This will be based mainly on genome wide association approaches with a particular emphasis on an approach known as DNA pooling. The DNA pooling approach greatly decreases the cost of genome wide association approaches but brings with it a new set of computational and statistical challenges. There will also be scope in the project for work on more general approaches utilising genomewide data, including work on gene expression and related bioinformatics. The project will address a wide range of disease phenotypes and as such can be readily tailored to accommodate the specific interests of the student.
The student will be based in the genetic epidemiology department ( http://genepi.qimr.edu.au/ ) at QIMR, Brisbane. QIMR is one of the largest medical research institutes in the southern hemisphere. The genetic epidemiology department is the single largest grouping at QIMR and employs several internationally renowned researchers in the field.
References:S. Macgregor, P.M. Visscher, G. Montgomery. 2006. Analysis of pooled DNA samples on high density arrays without prior knowledge of differential hybridization rates. Nucleic Acids Research, 34(7):e55.S. Macgregor. 2007. Most pooling variation in array based DNA pooling is attributable to array error rather than pool construction error. European Journal of Human Genetics 15: 501-504.S. Macgregor, Z.Z. Zhao, A. Henders, N.G. Martin, G.W. Montgomery, P.M. Visscher, 2008. Highly cost efficient genome wide association studies using DNA pools and dense SNP arrays, in press, Nucleic Acids Research.
Research Areas: Statistical Genetics, Genetic Epidemiology, Bioinformatics.
Suitable first degree/background: Applicants must hold at least a second class honours degree and/or relevant Masters degree in statistics, biological sciences, mathematics, computer science or a related field. Knowledge of genetics advantageous but not essential. Biological sciences applicants must be able to demonstrate some knowledge of statistics.
To apply, send CV to stuart.macgregor@qimr.edu.au
Please also state
why you want to undertake a PhD at QIMR
your research interests
at least 2 academic referees
where you saw this advert
****************************************
Dr Stuart MacgregorGenetic EpidemiologyQueensland Institute of Medical ResearchPost Office, Royal Brisbane Hospital300 Herston RoadBrisbane 4029, Australiatel. +61 7 3845 3563fax. +61 7 3362 0101stuart.macgregor@qimr.edu.au
Primary supervisor: Dr Stuart Macgregor
Applications: open until position filled.
Stipend: Fully funded stipend available for ‘home’ applicant (AUS$20K per annum tax free, rising to AUS$25K subject to satisfactory progress). ‘home’ applicant means Australian/New Zealand citizens/permanent residents. International students are still eligible for AUS$20K stipend but may need to pay additional tuition fees please contact stuart.macgregor@qimr.edu.au for further details.
Funding is tenable for 3 years.
Title: Statistical and computational methods for gene mapping
Description:The project will focus on statistical and computational methods for locating disease susceptibility genes. This will be based mainly on genome wide association approaches with a particular emphasis on an approach known as DNA pooling. The DNA pooling approach greatly decreases the cost of genome wide association approaches but brings with it a new set of computational and statistical challenges. There will also be scope in the project for work on more general approaches utilising genomewide data, including work on gene expression and related bioinformatics. The project will address a wide range of disease phenotypes and as such can be readily tailored to accommodate the specific interests of the student.
The student will be based in the genetic epidemiology department ( http://genepi.qimr.edu.au/ ) at QIMR, Brisbane. QIMR is one of the largest medical research institutes in the southern hemisphere. The genetic epidemiology department is the single largest grouping at QIMR and employs several internationally renowned researchers in the field.
References:S. Macgregor, P.M. Visscher, G. Montgomery. 2006. Analysis of pooled DNA samples on high density arrays without prior knowledge of differential hybridization rates. Nucleic Acids Research, 34(7):e55.S. Macgregor. 2007. Most pooling variation in array based DNA pooling is attributable to array error rather than pool construction error. European Journal of Human Genetics 15: 501-504.S. Macgregor, Z.Z. Zhao, A. Henders, N.G. Martin, G.W. Montgomery, P.M. Visscher, 2008. Highly cost efficient genome wide association studies using DNA pools and dense SNP arrays, in press, Nucleic Acids Research.
Research Areas: Statistical Genetics, Genetic Epidemiology, Bioinformatics.
Suitable first degree/background: Applicants must hold at least a second class honours degree and/or relevant Masters degree in statistics, biological sciences, mathematics, computer science or a related field. Knowledge of genetics advantageous but not essential. Biological sciences applicants must be able to demonstrate some knowledge of statistics.
To apply, send CV to stuart.macgregor@qimr.edu.au
Please also state
why you want to undertake a PhD at QIMR
your research interests
at least 2 academic referees
where you saw this advert
****************************************
Dr Stuart MacgregorGenetic EpidemiologyQueensland Institute of Medical ResearchPost Office, Royal Brisbane Hospital300 Herston RoadBrisbane 4029, Australiatel. +61 7 3845 3563fax. +61 7 3362 0101stuart.macgregor@qimr.edu.au
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