As part of the Nordic EMBL Partnership for Molecular Medicine, FIMM in collaboration with the Doctoral School in Health Sciences (DSHealth) and HIIT is seeking outstanding candidates for positions of Doctoral Students in Molecular Medicine, Molecular Bioscience, Neuroscience, Bioinformatics and Artificial Intelligence starting in August 2021
Institute for Molecular Medicine Finland (FIMM) is an international research institute focusing on human genomics and personalized medicine at the Helsinki Institute of Life Science of the University of Helsinki. FIMM integrates molecular medicine research and technology centre and biobanking infrastructures under one roof promoting translational research in grand challenge projects, specifically, the impact of genome information from the Finnish population in personalized health and medicine, individualized cancer medicine, and digital molecular medicine. The areas of interest of the 22 research groups cover cancer, cardiovascular disease, immune disorders, and neurological and psychiatric diseases. A particular focus is to enhance the understanding of sex-based differences in health outcomes, with emphasis on understudied or sex-biased phenotypes and disorders.
The Doctoral School in Health Sciences (DSHealth) is multidisciplinary by nature and consists of eight internationally and nationally networked doctoral programmes that approach life sciences from clinical, molecular and behavioral perspectives. The doctoral school aims to provide systematic, efficient and high-quality doctoral training to prepare doctoral candidates for both professional careers in research and other positions of high expertise.
In the areas of bioinformatics and computational biomedicine, FIMM collaborates with Helsinki Institute for Information Technology HIIT, a multi-disciplinary research institute focused on basic and applied research on information technology. Modern molecular medicine requires state-of-the-art methodologies in machine learning and artificial intelligence, data analysis, visualization and modelling of large data sets; HIIT research groups and programmes provide world-class research excellence in these areas.