PhD Scholarships in Sun and Health, Queensland University of Technology

Scholarship Description
We are seeking dynamic PhD candidates to undertake specific research in: Contributing to knowledge about the association between ultraviolet radiation (UVR) and chronic disease - this will be achieved through defining the mechanisms of Vitamin D production and exploring the role and interactions between skin cancer risk. Supervision is available from collaborators including Queensland University of Technology, Queensland Institute of Medical Research, Australian National University, University of Melbourne, Cancer Council Queensland, and Cancer Council Victoria.

Reference Number: 5104
Study Subject: Ultraviolet radiation (UVR) and chronic disease
Provided By: Queensland University of Technology
Level: Post Graduate

Availability
This scholarship is offered once only to 3 people. Open for applications from October 12, 2010 until October 31, 2010.

Payment Information
The value of this scholarship is AUD22500 (per annum). This award is to be used for living expenses. This scholarship is paid fortnightly for the period of 3 years.

Research Information
This scholarship is for one of the following fields of research: MEDICAL AND HEALTH SCIENCES, Medical biochemistry and clinical chemistry or Public health and health services.

Eligibility
This scholarship requires you to have achieved Honours 1 (Semester 1), or Masters or equivalent.

Application Details
To apply for this scholarship you must apply direct to faculty. You can download the application form here. Terms and conditions are subject to change. Always confirm details with scholarship provider before applying.

Main Contact
Stella Winn (Research Services Manager)
Queensland University of Technology
Phone: +61 7 3138 6056
Fax: +61 7 3138 6039
Email: s.winn@qut.edu.au
Web Site: http://www.ihbi.qut.edu.au/

Address:
IHBI, QUT
GPO Box 2434
Brisbane
QLD, Australia
4001

Postdoctoral Fellowship from Singapore-MIT Alliance for Research and Technology

Postdoctoral Fellowship from Singapore-MIT Alliance for Research and Technology (SMART)-Future Urban Mobility.

We are recruiting postdocs for projects within the Singapore-MIT Alliance for Research & Technology (SMART), Future Urban Mobility (FM) IRG, to be supervised by NTU and MIT faculty.

The Future Urban Mobility (FM) Interdisciplinary Research Group is the fourth and most recent IRG established within the Singapore-MIT Alliance for Research and Technology (SMART). The FM IRG’s activities began officially on July 1, 2010.

The goal of the FM IRG is to develop, in and beyond Singapore, new paradigms for the planning, design and operation of future urban mobility systems. Innovative urban mobility systems, aimed at both passengers and freight, will materially enhance sustainability and societal well-being on a global scale. This is a particularly opportune time to address this topic due to a confluence of relevant developments: major advances in computing, communications, and sensing technologies; the great progress that has been made in recent years in our ability to model, evaluate and optimize urban mobility systems; the growing importance of environmental sustainability issues; the aging of physical infrastructure in developed countries and the need for massive new infrastructure in less developed ones; and the vast economic stimulus that can be provided by the modernization and renewal of urban mobility systems worldwide.

The FM IRG will:

- harness and enhance promising networked computing and control (NCC) technology-enabled innovations that may contribute to improved future urban mobility;
- develop decision models that can be applied to support various novel mobility concepts, such as the pervasive use of real-time information, mobility-on-demand services and green logistics;
- investigate the potential and impacts of these innovations and decision models; and
- assess their implications for urban development and urban planning organizations and institutions.

The concrete project is the following:
Real-time Path Tracking/Predictions and On-Demand Route Guidance Under Uncertainty
Develop algorithms that use real-time data to (i) track and predict paths in dynamic transportation networks, and (ii) provide on-demand route guidance under uncertainty.

More information can be found on:
http://web.mit.edu/smart/research/futureurbanmobility/index.html

Please send detailed curriculum vitae, statement of research interests, three references, and relevant publications (if applicable) electronically to:

Prof. Justin Dauwels
Nanyang Technological University
School of Electrical & Electronic Engineering
Singapore
Email: recruitment@dauwels.com

Application deadline: November 1, 2010

Details Fellowship Information and Form Application

find college scholarships Comparison Between Scholarships, Loans and Grants

Comparison Between Scholarships, Loans and Grants

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