The research area is integrated diagnostics, meaning combining information and data from different sources to enhance diagnostics, could include imaging (structural and molecular, in-vivo and ex-vivo), biological (proteomic, genomic and metabolomic) and clinical (registries) data and has application in for example oncology and clinical physiology. The research area could span over a broad range of medical specialties (for example clinical physiology, oncology, radiology, and pathology) and technical areas (for example computer science, bio-informatics, radiation physics etc.) and provide new diagnostic tools with very high precision for important public health issues like cancer, neurological and cardiovascular diseases.
Umeå provides an excellent research infrastructure for the fellow with access to large and unique prospective data collections and biobanks such as NSHDS and the UCAN biobank, access to high-end imaging equipment with MR, US, CT and PET, competence and established collaborations in computer science, bio-informatics, image analysis. The position will include both research and teaching.
