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the 1990s, continuing its theoretical development and application for ocean forecasting and climate predictions. NERSC leads DA development in the Norwegian Climate Prediction Model (NorCPM), which delivers
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 days ago
transformed into heterogeneous graphs, where rows become nodes and primary–foreign key relationships induce edges. GNNs can then propagate information across the relational structure and learn predictive
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directly test model predictions. Where to apply Website https://www.academictransfer.com/en/jobs/364063/postdoc-position-in-ai-foundati… Requirements Specific Requirements We are looking for a postdoctoral
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to predict metastasis through integrated analysis of clinical data, molecular profiles and mechanistic models. As postdoc, you will develop and apply methods for analysis of multimodal biomedical data from
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environment is multidisciplinary, fostering creativity and innovation. ( http://liu.se/loe ). You will work within the Materials Science group, part of the Theory & Modelling unit, with Assistant Professor
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inhibition and feedback constrain reachable network states and transitions. Analyze large-scale electrophysiological and behavioral datasets and connect model predictions to neuronal spiking, population
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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intelligence, starting 1 April 2027. You will design new sequence-to-expression deep learning models that predict gene expression from DNA sequence in plants, using new experimental datasets generated in
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the superfluid-to-insulator transition, random quantum circuits, and the effects of quantum measurements. -Develop theoretical models and analyses of disordered quantum systems. -Perform numerical simulations and
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The main objective of the project is to develop novel, interpretable predictive models for response to immunotherapy in patients with advanced melanoma, based on the functional activity of gut fungi