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students from all over the world. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning engines, and reinforcement learning—can be adapted and
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marine technology, together with more than 60 PhD students from all over the world. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning
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use the model species thale cress (Arabidopsis thaliana) as a resource to help identify the molecular mechanisms and genes underlying responses to altered temperatures and parasite (co-)infection. We
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cell walls, which have been implied in responses to the two parasites. We will also use the model species thale cress (Arabidopsis thaliana) as a resource to help identify the molecular mechanisms and
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models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks that support the human learning and improving
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models to enhance learning through AI technology. A part of this work is also to consider opportunities for innovation related to start-up companies. The approach followed encapsulates Design-Based
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PhD/doctoral degree in neurodegeneration research, neuropathology, pathology, etc. extensive experience in tumor histology/biology, also in brain tumors extensive experience in working with mouse models
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involve applications of the existing framework and advancement in the interface towards integrated assessment and energy system models for scenario analysis. The selected candidate will join a team of
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Operations research group is dedicated to developing and showcasing digital twin models for selected vessels through extensive ship performance and navigation data. The position is funded by the TwinShip
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-boundary value problem is reformulated in such a way that loads, boundary conditions and constitutive models are completely or partially replaced by some form of experimental data. The research activities