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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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. The computational work includes, for example, the analysis of omics data and computational modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics
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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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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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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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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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language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages digital twin environments and validation frameworks to ensure reliable, secure, and
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combination with machine learning and/or data mining techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model
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. The postdoc will systematically model adversarial capabilities, develop proactive mitigation strategies, and evaluate their effectiveness in large-scale experimental settings. Who we are looking
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that combine network-level protections with AI- and system-level adaptivity. The postdoc will systematically model adversarial capabilities, develop proactive mitigation strategies, and evaluate