Medical Science | Scholarship for Nigerians and Africans - Part 34

UJ-CANSA Scholarships for Master’s and Doctoral Study 2011, South Africa: Carcinogens – Environmental (e.g. Pollution) • Health Sciences – Cancer prevention and treatment • Animal Studies and Zoology – Elephant Bio-detection (opportunity available) • Socio-Psychological issues • Business Management – Non-profit Organisations (NPO) • Marketing and Communications (strategies for NPO

All applicants must submit the following documents:
• A completed application form
(available at Library, Level 1 (APK) or download from the Research and Innovation Division section of www.uj.ac.za).
• Curriculum Vitae (clearly indicating your study field).
• ID document.
• Full official academic record including all levels of tertiary study prior to your current qualification.
Please note that academic records from student portals will NOT be accepted.
(Do not submit certificates. Academic records must include marks.)
• For Master’s and Doctoral students – A brief (max one page) outline of your project
(clearly indicating the research area).
• Letters of Reference (see table below for specific letters of reference required per level of study)

Level of study in 2011 Reference reports required
1st year Master’s Two references (at least one academic lecturer or HOD) and potential supervisor
(if already identified).
2nd year Master’s Supervisor of Master’s and two references (at least one academic lecturer or HOD).
Doctoral Supervisor of Master’s; HOD of Master’s and one other reference
(preferably an academic lecturer).

Scholarship Application Deadline:6 May 2011

Further Scholarship Information and Application

Postdoctoral Position in Computational Biology, Massey University, New Zealand

The successful candidate will study ways of improving the spatial and temporal resolution of genetic inferences about past human migrations. Although there is scope to accommodate existing research interests, the successful candidate will develop, implement and test new methods in statistical genetics, and apply these methods to genome-scale datasets. This research will initially be directed toward reconstructing aspects of prehistoric mobility in the Pacific region, a major focus of my research group.

This postdoctoral fellowship offers a rare opportunity to extend your research training within an internationally recognized computational biology research group, while taking advantage of New Zealand’s unique natural and cultural environment. Palmerston North, a university town with a large international community, offers a full range of social and cultural amenities. The city is located close to the North Island’s central mountains, and presents regular opportunities for hiking, skiing, surfing and adventure sports, as well as experiencing New Zealand’s unique indigenous culture. Nevertheless, my research group maintains extensive international connections, especially with colleagues in Australia, Indonesia, France and the United States, and is linked firmly into the international scientific community.

Minimum Qualifications:
– A Ph.D. in computational biology, bioinformatics, applied mathematics, computer science, population genetics, molecular evolution, or other relevant field.
– Able to conduct independent cutting-edge research.
– Proven research experience with a strong publication record.
– Solid analytical, quantitative and mathematical skills.
– Fluency in probabilistic modeling and statistical genetics.
– Candidates should be comfortable working in a UNIX environment, have a strong programming background, and be proficient in working with large datasets.

Scholarship Application Deadline:15 May 2011

Further Scholarship Information and Application

PhD Scholarship in Computational Biology, Massey University, New Zealand

A PhD scholarship is now open for a highly motivated and productive student in the Computational Biology Research Group at Massey University, New Zealand. The successful candidate will study how human social arrangements, such as marriage practices, affect patterns of genetic diversity in small communities. Although there is scope to accommodate existing research interests, the successful candidate will develop, implement and test new methods in statistical genetics, and apply these methods to genetic and cultural anthropology datasets. This research will initially be directed toward determining whether human social practices have constrained or directed genetic evolution in the Pacific region, a major focus of my research group.

This PhD scholarship offers a rare opportunity to develop your skills as a researcher within an internationally recognized computational biology research group, while taking advantage of New Zealand’s unique natural and cultural environment. Palmerston North, a university town with a large international community, offers a full range of social and cultural amenities. The city is located close to the North Island’s central mountains, and presents regular opportunities for hiking, skiing, surfing and adventure sports, as well as experiencing New Zealand’s unique indigenous culture. Nevertheless, my research group maintains extensive international connections, especially with colleagues in Australia, Indonesia, France and the United States, and is linked firmly into the international scientific community.

Minimum  Qualifications:
– A Masters or Honors degree (First Class or equivalent) in computational biology, bioinformatics, applied mathematics, computer science, population genetics, molecular evolution, or other relevant field.
– Able to conduct independent cutting-edge research.
– Solid analytical, quantitative and mathematical skills.
– Experience with probabilistic modeling and statistical genetics.
– Candidates should be comfortable working in a UNIX environment, and have a strong programming background.

Preferred Qualification:
– Candidates with a background in interdisciplinary research, spanning both biological sciences and applied mathematics/computer science, are especially encouraged to apply.
– Candidates should have proven research experience, preferably with evidence of scientific publications.
– Candidates will ideally be conversant in a compiled programming language (e.g., C or C++), a scripting language (e.g., Perl), and a statistical environment (e.g., R).
– Experience with parallel computing on large clusters and/or parallel programming would be highly advantageous

Scholarship Application Deadline: 15 May 2011

Further Scholarship Inforation and Application