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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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. 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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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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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
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within the Theory and Modelling for Organic Electronics unit in the group led by Associate Professor Glib Baryshnikov . You will have access to the supercomputing resources provided by Linköping
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improve models and codes for assessment of the liquid source term during severe accident (SA) of LWR systems. In particular, research will include assessment of the characteristics of the containment water
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for self-deployable 6G networks in the edge continuum (EC-DEPLOY-6G) pioneers the use of large language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages
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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