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esophageal tissue using a variety of mouse models, organoid co-cultures and spatial sequencing technologies to identify relevant cell-cell interactions. We seek a curious, highly motivated, and creative
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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
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models, applying CRISPR/Cas9 based gene knockout or other base/prime editing methods for human cells, such as T and B cells, induced pluripotent stem cells (iPSCs) and hematopoietic stem cells, and
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molecular and cell biology assays, generating iPSC and organoid models, applying CRISPR/Cas9 based gene knockout or other base/prime editing methods for human cells, such as T and B cells, induced pluripotent
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written communication skills in English. Contract terms This is a full-time postdoctoral position with a fixed term of two years. Supervision and support will be provided for both experimental and modeling
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terms This is a full-time postdoctoral position with a fixed term of two years. Supervision and support will be provided for both experimental and modeling studies. Please observe: Since the department is
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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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, molecular genetic and cytogenetic techniques, and functional models of somatic genetic changes to understand how childhood leukemia arises and develops. Our long-term aims are to use our increased
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remote brain areas in vivo in animal models that underlie plasticity in the prefrontal cortex of mice. We will focus on neuronal micro- and macro-circuits that influence our feeding behavior, which
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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