Overview
An exciting opportunity has arisen which will develop approaches for analysis of next generation
sequencing data, with a focus on copy number variable (CNV) regions and identification of single base variations as surrogate CNV markers. Statistical approaches for the de novo assembly of sequence from genomic regions with complex rearrangements would also be developed, using both likelihood based frequentist methods, and Bayesian techniques.
This project would involve working closely with both bioinformaticians and biomedical genetics researchers, and includes the possibility of learning skills in laboratory work, if desired. You will be doing this project at New Zealandfs top ranked University for Research – the University of Otago, (Dunedin campus) in the Department of Biochemistry co supervised by Dr Mik Black and Associate Professor Tony Merriman.
Eligible Candidates
This project would suit someone with a strong undergraduate background in statistics and/or bioinformatics, although people with other suitable backgrounds are encouraged to apply. You should have an interest in biomedical research, be highly motivated and able to work as part of a team. This project is open to Domestic and International Students (who fit the University ot Otago prerequisites for Postgraduate admission).
Amount Awarded
$25,000 plus tution fees
Closing dates: 21 May 2010
Information required with application
Please send a covering letter, CV (including three refereefs contact details (two academic)) and supporting documents such as your academic transcript by 21st May 2010 to: Dr Mik Black
Biochemistry Deprtment, University of Otago, PO Box 56 , DUNEDIN 9054
or email this information to: mik.black@otago.ac.nz
For further information please contact: mik.black@otago.ac.nz or tony.merriman@otago.ac.nz
Contact details
Phone: 0800 808098
Fax: 03 479 8692
Email: scholarships@otago.ac.nz
Website: http://oupolicy.otago.ac.nz/scholarships/index.html
Please kindly mention Scholarization.blogspot.com when applying for this scholarship
An exciting opportunity has arisen which will develop approaches for analysis of next generation
sequencing data, with a focus on copy number variable (CNV) regions and identification of single base variations as surrogate CNV markers. Statistical approaches for the de novo assembly of sequence from genomic regions with complex rearrangements would also be developed, using both likelihood based frequentist methods, and Bayesian techniques.
This project would involve working closely with both bioinformaticians and biomedical genetics researchers, and includes the possibility of learning skills in laboratory work, if desired. You will be doing this project at New Zealandfs top ranked University for Research – the University of Otago, (Dunedin campus) in the Department of Biochemistry co supervised by Dr Mik Black and Associate Professor Tony Merriman.
Eligible Candidates
This project would suit someone with a strong undergraduate background in statistics and/or bioinformatics, although people with other suitable backgrounds are encouraged to apply. You should have an interest in biomedical research, be highly motivated and able to work as part of a team. This project is open to Domestic and International Students (who fit the University ot Otago prerequisites for Postgraduate admission).
Amount Awarded
$25,000 plus tution fees
Closing dates: 21 May 2010
Information required with application
Please send a covering letter, CV (including three refereefs contact details (two academic)) and supporting documents such as your academic transcript by 21st May 2010 to: Dr Mik Black
Biochemistry Deprtment, University of Otago, PO Box 56 , DUNEDIN 9054
or email this information to: mik.black@otago.ac.nz
For further information please contact: mik.black@otago.ac.nz or tony.merriman@otago.ac.nz
Contact details
Phone: 0800 808098
Fax: 03 479 8692
Email: scholarships@otago.ac.nz
Website: http://oupolicy.otago.ac.nz/scholarships/index.html
Please kindly mention Scholarization.blogspot.com when applying for this scholarship
0 comments:
Post a Comment