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) with particular focus on the role of blood vessels. The postdoctoral candidate will work closely with researchers in the team as well as with our collaborators and be responsible for data analysis
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develop analysis pipelines to analyze high dimensional spatial and single-cell data of cancer and immune tissue from patients and pre-clinical studies and should have a strong background in both
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mechanisms involved. There is also a need to find analysis methods to reconcile distinct measurement methods and calculations in local scale flux studies made by both SITES, ACTRIS and ICOS in order to
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
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develop analysis pipelines to analyze high dimensional spatial and single-cell data of cancer and immune tissue from patients and pre-clinical studies and should have a strong background in both
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collaboration with the group led by Asst. Prof. Gina Panopoulou. This includes code development, analysis and interpretation of data, writing manuscripts for publication and presenting work at relevant
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or other forms of appointment/assignment relevant to the subject area. Required skills: Strong background in aquatic ecosystem science Proficiency in GIS and analysis of long-term environmental data
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materials characterization, high resolution (in situ) microscopy, and synchrotron analysis. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up
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., phylogenetic analysis) You have personal integrity and take initiative. You are resilient, and do not give up easily. You are well structured as a professional and driven to achieve a high level of quality
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and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial