51 phd-mathematical-modelling-population-modelling Postdoctoral research jobs in Finland
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
close collaboration and innovation. Together, they drive ecosystem development by combining cutting-edge research with industrial expertise, fostering new technologies, business models, and talent
-
are now looking for a Postdoctoral researcher in hydrological and ecosystem modelling The postdoctoral position is linked to large-scale and long-term research in the water sector at the Flagship DIWA
-
of Advanced Mathematics for Sensing, Imaging and Modelling (2024–2031). The group is also supported by a Research Council of Finland Fellowship under the project SPARSe (2025–2029), further strengthening its
-
-Gordon model, the scaling limit of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with
-
of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with experience in mathematically rigorous
-
in signal processing and control. Your role and goals As a researcher in this project, you will work on mathematical models for describing the radio environment and to design algorithms for estimating
-
encompass species census data from both aquatic and terrestrial communities. Candidates should possess a PhD in population genetics, evolutionary ecology, or a related field, with proven expertise in spatial
-
communities. Candidates should possess a PhD in population genetics, evolutionary ecology, or a related field, with proven expertise in spatial statistical skills. We seek candidates with the ability
-
, metabolism and microbiota. Our methodological approaches include cell cultures, animal models and randomised controlled trials. Responsibilities and qualifications We are looking for a motivated postdoctoral
-
the entire population. The project utilises advanced statistical methods such as multilevel models (mixed models), fixed-effects models, cluster analysis, and sequence analysis. The selected researcher is