Sort by
Refine Your Search
-
multimorbidity through a new level of understanding and acting on these dimensions - lifelong molecular, physiological, environmental, behavioural and societal mechanisms. About the job The successful candidate
-
characterising patient-derived induced pluripotent stem cell (iPSC) models and retinal organoids. Evaluating therapeutic efficacy using molecular, cellular and functional assays. Contributing to translational
-
the dynamics of therapy-resistance by combining advanced molecular biology method development to multi-omic single-cell analyses of both ex vivo models and clinical tumor specimens. Our novel, in-house
-
position within a Research Infrastructure? No Offer Description The Machine Learning for Health team at the Institute for Molecular Medicine Finland (FIMM) , University of Helsinki, is currently seeking a
-
The Machine Learning for Health team at the Institute for Molecular Medicine Finland (FIMM) , University of Helsinki, is currently seeking a highly-motivated postdoctoral researcher to join our team
-
of human health, with the aim to prevent chronic diseases and multimorbidity through a new level of understanding and acting on these dimensions - lifelong molecular, physiological, environmental
-
funded by the Research Council of Finland, the Kone Foundation and the ERC, with a focus on using the well studied Teno Atlantic salmon system as a model for adaptive management to assess biological and
-
and experimental models. Our research focuses on combining large-scale molecular data - including metabolomics, lipidomics, genomics, proteomics, glycomics, and microbiome data - with advanced
-
responses in lymph nodes. The project focuses on cellular and molecular mechanisms that mediate the transfer of lymph-borne antigens from lymphatic vessels into lymph nodes and the effects of antigens