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Field
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, collaborative atmosphere, and outstanding research support. About the role We are seeking a highly motivated postdoctoral researcher with expertise in cognitive computational modelling (preferably social
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to anthropogenic climate change. Nevertheless, these extreme events may be modulated by large-scale climate variability modes across a wide range of spatial and temporal scales. Using large ensemble multi-model
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Job Advertisement 2025-06 23.07.2025 At the Leibniz Institute of Atmospheric Physics (IAP), a full-time position (40h/week) in the Department “Modelling of Atmospheric Processes” is available as
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. This role will involve: Refining the implementing decision-making social and non-social paradigms for pre specified research hypotheses. Conducting model simulations, fitting, and recovery, as
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to specialize the memory management of several applications, including virtual machines. Running memory management policies in user space opens up new opportunities, particularly the integration of AI models
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experimental research-based technology integration, modeling, control, and data-driven analysis and toolset development. Here is the chance to work in a pleasant team atmosphere, dive into research and at
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modelling, data-driven climate modelling, and working with large ensembles of climate/weather model output are advantages. The LEAD AI mobility rules must be followed. Outgoing fellowships require
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from advanced centrifuge tests with numerical simulations. We are looking for candidates with a PhD in geotechnical engineering and proven experience in numerical modeling of offshore foundation systems
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approach to evaluating and managing multi-stressor impacts within these urbanised estuaries. The successful applicant will build on their expertise in marine seascape ecology, simulation modelling and large
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material-system interactions, particularly the performance of adsorbents, thermal interfaces, and condensation surfaces under varied operating scenarios. Develop and refine performance simulation models and