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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
project VERTical EXchange in the Southern Ocean (VERTEXSO). You will develop and implement novel parameterizations of subgrid-scale convective processes in an Earth System Model and investigate their role
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Discrete generative modeling is
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minimum, applicants should have prior experience of working with murine models of infection and/or murine models of allergy, especially gnotobiotic models. Applicants who also have prior experience with
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. Establish technical standards, principles, performance models and documentation requirements, and ensure solutions meet security, interoperability, sustainability and supportability requirements. Coordinate
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to harness data, artificial intelligence, emerging technologies and digitally enabled operating models to: Transform the student and colleague experience. Strengthen education and graduate outcomes. Accelerate
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Infrastructures market, analysing the main development trends, enabling technologies, and innovation models that are driving the transformation of urban environments and infrastructure. In particular, the Research
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the system, enabling robust inferences even in the presence of sparse or uncertain data. In this context, the project will explore surrogate modeling approaches for the rapid approximation of solutions
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, predictive modeling, machine learning, and quantitative research to trusted enterprise data. Working within the UNG NEST, the position develops analytical models and predictive insights that improve strategic
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can upload participants' written memory responses and receive automated scores in return, without writing any code. The platform is designed to host a range of scoring models (both the models we develop
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for complex geological properties. Collection of geochemical and petrological reference data to train models is an equally important component of this task. The post will involve spectral, petrophysical, and