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. Salary is competitive and commensurate with experience and an established research record. We particularly welcome methodological research that develops algorithms and mathematical models in computational
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hardware. Building a low-latency query API that returns the end-to-end energy cost of an AI service. What you will deliver: Validated models with less than 10% prediction error on the Aalto and Ericsson
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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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, including traffic prediction, optimization, and safety enhancements. Key Responsibilities: Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection
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), the School of Biomedical Engineering and Imaging Sciences (https://www.kcl.ac.uk/bmeis ) is a cutting-edge research and teaching School dedicated to development, translation and clinical application within
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 4 days ago
Research Infrastructure? No Offer Description A two-year research engineer position is available in team BioTiC at Inria Lyon. At BioTiC, we study cellular systems through computational models and
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-resilient rainwater harvesting solutions by combining field sampling, innovative treatment testing, and predictive modelling to make decentralized urban water reuse safe and sustainable Are you passionate
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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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geochemical alteration occurs, and the associated uncertainty in predicting reservoir behaviour. This will be done with laboratory investigations and geochemical modelling. Specifically, you will: Characterise
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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