-
-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
-
mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
-
central role in conducting laboratory-based experimental work using clinical samples, with a particular emphasis on microRNA profiling and whole-genome or exome sequencing, including metagenomic approaches
-
full time for two years and the position is expected to start on November 1st 2025, or according to agreement. The position is based at the Department of Ecology, Environment and Geopscience at Umeå
-
based primarily on the relevance and quality of the submitted research plan and secondarily on other scientific merits. Importance will be placed on experience of engagement with non-academic stakeholders
-
screen in this in vivo model. Thereafter, based on the results of the screen, novel therapeutic treatment strategies and possible new biomarkers will be explored. The overall aim is to develop new
-
organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Postdoctoral fellows who are to teach or supervise