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Are you passionate about using data and AI to improve human health? Join us in tackling one of the biggest global health challenges of our time – antibiotic resistance. We are offering a three-year
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digital twin framework, adaptable to: The level of detail available for ship modelling, The quality of risk-related data, and Quantified model and data uncertainties. The project will advance knowledge
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work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you
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stiffness or stretchability. You will collaborate closely with PhD students and Postdocs in our group as well as external partners to study the mechanical, electrical, and electrochemical properties
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, as well as handling bioinformatics tasks such such as running analysis pipelines, performing quality control, and conducting downstream data analyses. You are expected to actively contribute to method
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both competitive in peacetime and resilient in times of crisis. For more information, visit FORCE – Centre for Food Resilience and Competitiveness. Subject description The postdoctoral position focuses
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
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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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PhD thesis Degree certificate or documentation on expected PhD completion Contact information for two academic references Any other supporting documents Further Information The scholarship holder will
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the boreal region of Sweden. The study sites are part of the SLU forest long-term trial series and located in boreal Sweden. Similar data from conventional rotation-forestry sites are available for further