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, with a focus on handling non-determinism, model uncertainty, and changing data distributions in both pre-deployment and runtime contexts. Investigating runtime monitoring, testing, and explainability
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Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between remote brain areas in vivo in animal models that underlie plasticity in the prefrontal
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transported in nature and urban systems from an engineering perspective. This includes but is not limited to, comprehension and modeling of the components of the hydrological cycle as well as geospatial
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will be expected to dedicate your time develop a high-biofidelity, high-resolution computational rat model with dual applications: i) advance the mechanistic understanding of brain injury by linking
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printing with concrete, and UMA will contribute by exploring new building design with biomass in the 3D printing process. Your primary tasks include: 3D modelling using Rhinoceros 3D and Grasshopper software
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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approximately 30 places. The department strives for an approach that encourages and promotes the use of theories and models drawn not only from traditional social sciences, but also from, for example
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in modulating bile duct inflammation and fibrosis using translational research models of PSC. This PhD project will employ a combination of in vitro (immortalized and primary cholangiocytes), ex vivo
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. Eran Elhaik to design machine-learning models that unlock the potential of genomics for forensic investigations and historical reconstructions. Work duties We aim to develop machine learning methods
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Hospital, and with experts in mathematical modelling at the translational research hub IceLab , Umeå University. Work responsibilities As a postdoc in our team, you will be an integral part of a dynamic and