The Challenge platform includes researchers with a wide range of expertise and resources ranging from epidemiology, data science and biostatictics, pathology, systems biology and proteomics, all working within the field of aging and disease mechanisms. The partnership includes researchers from:
We are specifically focused on biopsy-diagnosed diseases where the tissue archives of pathological exams, such as liver, kidneys, brains, prostate, and pancreas will be used for disease reclassification and prognostics using both biomarker discovery and nationwide register-based follow-up of diseases.
We invite highly qualified, thorough and motivated applicants to apply for positions at either PhD student or postdoctoral level. The candidates will be part of a research incubator (team of younger scientists) that will connect and mutually inspire, while applying different approaches, methodology, and disciplines to the investigation of the tissue biopsy data and the nationwide registers. Specific projects the candidates may be involved in include for instance risk stratification in fatty liver (using genetics and proteomics), but the Challenge Platform is open to suggestions and research topics highlighted in the application. Successful candidates are assigned to the projects based on their interests and background. It is our hope that the right candidates will cross-fertilize and create a synergy allowing our scope of work to span from molecule to human and population level.
For postdoctoral fellows, your key task is to carry through an independent research project under supervision.
The fellow will also be encouraged and mentored to develop new proposals and research initiatives to support additional research. Exchange stays with collaborating research centers in other countries will be possible. Over the course of the position, opportunities to teach at either the graduate or undergraduate level exist.
PhD fellows are specifically expected to:
Highly motivated researchers with degrees in medical sciences, biostatistics, Public Health Science, computer science, high-dimensional data (bioinformatics or -omics), human biology, or proteomics. Candidates should have excellent communication skills and writing skills, and be interested in working in a multidisciplinary team. Furthermore, the right candidate will likely have experience within and knowledge of some of the following areas:
The closing date for applications is 24 March 2020.
The positions start from 1 June 2020.