Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
such as R, SAS, ArcGIS, SQL, Python and AI tools. Conducts geospatial and epidemiologic analyses relevant to the catchment area to assess cancer outcomes, spatial patterns, temporal trends, and disparities
-
Job related to staff position within a Research Infrastructure? No Offer Description Challenge: Unravel storm–lake coupling at fine scales. Change: Combine unique observations and cutting edge models
-
well as in liver regeneration and cancer. Leveraging publicly available spatial datasets, this project aims to develop data-informed computational modelling and systems biology framework to dissect molecular
-
. Ali Bashashati). Responsibilities Designs and implements machine learning models for bulk and single-cell genomics and transcriptomics. Analyzes spatial transcriptomic datasets to uncover tissue
-
exhibit hallmarks of active matter. This PhD project aims to develop theoretical and computational active-matter models of early mouse embryogenesis that couple collective cell mechanics with gene
-
analysis pipelines and to integrate imaging data into computational models. It is an opportunity to work with research groups across the Cell-Matrix Centre and the Bioimaging Facility. The appointee will be
-
-cell sequencing and spatial transcriptomics is preferred. This position will be an excellent opportunity to gain experience performing basic and translational research using patient-derived specimens and
-
Heritage and Education Economic and Spatial Development, Democratic Participation and Social Integration Biodiversity and Health Light, Matter, Information Environment and Sustainable Development Research
-
the glycocalyx components. However, the physicochemical characteristics of these interactions and the spatial organisation of the glycocalyx remain poorly understood at the molecular level, as does how they shape
-
starts. Preferably, you will also have: Interest in global water issues and earth system modelling; Strong quantitative methodological skills, for instance knowledge of (spatial) data analysis