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position postdoctoral position within marine biogeochemical modelling at the Geophysical Institute , University of Bergen and the Bjerknes Centre for Climate Research . The position is for a fixed term of 3
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, and entrepreneurship. Doctoral Candidates will gain transferable skills and learn from industry role models, equipping them to make significant contributions to solving the AMR crisis. The succsesssful
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project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict health disparities under different climate change scenarios
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/work tasks: The position is part of the Belmont Forum project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict
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relevant component development tasks in the project Contribute to relevant simulation and modelling activities in the project Required selection criteria You must have a professionally relevant background in
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molecular biology, field- and experimental work, bioinformatics and statistical modeling. Strong analytical skills and experience in genomics and evolutionary biology are desirable. As a PhD candidate, you
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Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural
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technology. The planned work is experimental and will be conducted in our lab facilities, also incorporating theoretical models of complex flow. Fieldwork is planned in collaboration with a non-profit
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and T cells as a salvage therapy for infections and immunodysregulation. We aim to build correction technologies that fit to a wide spectrum of mutations in diverse genes, as opposed to focusing on a
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microscopy. Experience with cancer organoid models and/or bioinformatics is an advantage. We offer broad training possibilities in the required experimental methods within a stimulating academic environment in