Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
FIMM is seeking outstanding candidates for positions of FIMM-EMBL Group Leaders in Molecular Medicine This group leader search is for 2-3 early-stage group leaders with significant international
-
lead research on new business models and the changing dynamics of the construction and real estate sector. The role offers a platform to deliver research-based insights that strengthen the sustainability
-
of the MET faculty, determined by the research profile and interests of the selected applicant. In BIO unit, research focuses on fundamental cellular processes and immunology. We utilize molecular genetics
-
Join Us as a Data Scientist at FinnGen! Location: Helsinki, Finland Project: FinnGen at the Institute for Molecular Medicine Finland (FIMM) Are you passionate about advanced data analytics and eager
-
-of-helsinki ), or to a full professorship depending on the applicant’s qualifications and career stage. We are looking for candidates who would strengthen and complement the scientific profile of the Molecular
-
and education. The Faculty consists of three Research Programmes: Ecosystems – and Environment, Organismal and Evolutionary Biology, and the Molecular and Integrative Biosciences. The lectureship is
-
, Organismal and Evolutionary Biology, and the Molecular and Integrative Biosciences. The lectureship is based in the Organismal and Evolutionary Biology Research Programme, which brings together diverse
-
of forest growth modelling and simulation systems, as well as a deep understanding of the operational environment of boreal forest management, will support success in this role. Experience in conducting
-
stakeholders. A valid driver’s license and readiness for occasional travel and fieldwork are required. Knowledge of forest growth modelling and simulation systems, as well as a deep understanding of the
-
emission and its underlying processes. The lack of continuous observations of CH4 turnover hinders our understanding of CH4 emission variability and the predictability of mechanistic CH4 models. We aim