Sort by
Refine Your Search
-
. We will develop an isotope version of a process-based CH4 model and update the representation of different wetland types in the model using a data inversion approach. Additionally, we will analyze
-
critical models. Excellent written and verbal communication skills in English are required. Good co-operation and interaction skills are considered to be an advantage for the applicant. What do we offer? We
-
project CONFSTAT – Conformally invariant and near critical models in statistical field theory. The work of the postdoctoral researcher will focus on studying conformally invariant models of statistical
-
experimentalists and clinical partners to understand and model biological processes and disease phenotypes Supervise and mentor students, and assist other team members in experiment planning, data processing and
-
investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
-
using unique novel mouse models, spatial technologies and analytical methods. Postdoctoral Researcher in Functional Cancer Microbiome through the NORPOD program NORPOD is a collaborative postdoctoral
-
metagenomics assembly” funded by the Research Council of Finland in the research group of University Lecturer Leena Salmela. We develop models, algorithms and data structures for high throughput sequencing data
-
regulatory processes contributing to cancer. The candidate We seek a highly motivated candidate with a track record of statistical models, network science, and/or computational tool development dedicated
-
sequencing data from up to 10,000 trees. We are using birches (Betula) as our model organism, as they have a relatively small genome, they are adapted to their local environments and there are accelerated
-
infrastructure data to model how government policy shapes cloud geography. The position can be tailored towards qualitative or quantitative work, depending on the researcher’s background. You will also contribute