[USA] Postgraduate Fellowship at University of Washington plus 2 more |
- [USA] Postgraduate Fellowship at University of Washington
- [Switzerland] PhD position in Biostatistics at University of Basel
- [Sweden] Postdoctoral in bioinformatics and network biology at University of Lund
| [USA] Postgraduate Fellowship at University of Washington Posted: Postgraduate Fellowship at University of Washington Overview Institute for Health Metrics and Evaluation The Post-Graduate Fellowship (PGF) is an intensive training program that provides opportunities both for self-directed research and interdisciplinary collaboration in health metrics. Strong candidates for this program have graduate-level training in quantitative methodology from one of the following areas: health policy, economics, mathematics, computer science, statistics, biostatistics, epidemiology, health services, demography, engineering, physics, medical sciences, or other related fields. The PGF program combines academic research, education and training, and professional work with progressive, on-the-job training and mentoring from an accomplished group of professors and researchers.
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| [Switzerland] PhD position in Biostatistics at University of Basel Posted: PhD position in Biostatistics at University of Basel Overview Applications are invited for a PhD position in the area of spatial statistics and cancer epidemiology in Switzerland. The position is available immediately however a later starting date is possible by negotiation. Appropriate qualifications are either a diploma in Mathematics with a substantial statistical component or in biomedical related field followed by postgraduate qualification in Statistics. Applicants should also have sound computing skills. The successful applicant will register for a PhD degree at the University of Basel.
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| [Sweden] Postdoctoral in bioinformatics and network biology at University of Lund Posted: Postdoctoral in bioinformatics and network biology at University of Lund Overview
Applications are invited for a post-doctoral position in bioinformatics with focus on network biology. Network biology is a novel way to study complex disorders by integrating genetics, gene expression data and physiology. The project aims at studying the gene/protein networks that drive type 2 diabetes to identify disease mechanisms and targets that can be exploited for specific treatment. The unique collection of human islets at LUDC will be used for the studies, but data from other human tissues as well as rodent models will be analyzed with respect to intra- and intertissue gene networks.
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