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Field
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conducting the following activities: - Analyze the sensitivity of the seismic hazard model to parameters such as ground motion prediction equations (GMPEs) and site effects. - Investigate differences between
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to cutting-edge research projects aimed at collecting massive protein fitness measurements in service of developing a new generation of predictive models linking sequence to function. Key responsibilities will
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focus in multidisciplinary research. The CMCB laboratory aims more specifically at developing cutting-edge data/image analysis as well as modelling strategies to answer fundamental biology issues with
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Habitability and linked to the “Galactic Recipe for Exo-Planets” (GREP) project funded by the Research Council of Norway. GREP’s objective is to take exoplanet and exoplanetary system formation modelling
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design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning models that forecast user actions and remote system responses
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qualifications: cumulatively or alternatively: a) Experience and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information to be
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: cumulatively or alternatively: a) Experience and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information to be provided in
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that enable interaction between language models and multiple data technologies, ensuring the correct coordination, contextualisation, and control of access to information. Empirical studies will be used
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validation of artificial intelligence models. Support in the acquisition and management of data collected by the group in a clinical or laboratory setting. Experimental evaluation of algorithms, development
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. The research will involve studying and modelling the different components of selected critical infrastructures such as energy, industrial control, and petroleum systems. It will also involve analyzing commonly