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localise greenhouse gas emissions over large open areas enabling organisations to achieve their net-zero climate goals. Our sensor products generate large volumes of data as they scan the environment
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leads in the area of electrode materials characterisation for direct ammonia solid oxide fuel cells Attend progress and management meetings as required and network with the other research groups where
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of the Biomaterials and Tissues of the Future. https://cordis.europa.eu/project/id/101226431 This network has 8 host institutions hiring doctoral candidates: Uppsala University, Universitat Politecnica de Catalunya
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varying material properties. The resulting response will be analyzed using techniques such as Monte Carlo simulations. Identifying the variability of the model parameters using Bayesian inference
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Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods
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work with biostatisticians to execute data analyses. Current Major Projects Rapid Research in Diagnostics Development for TB Network (R2D2 TB Network) – This NIH U01-funded project has established a
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& Partnerships (NSF-TIP) directorate. More information on the project is available at: https://industriesofideas.ai/ . Term-limited: This is a term-limited position for two years, with the possibility of renewal
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analysis. Nat Biotechnol 41, 604–606 (2023). https://doi.org/10.1038/s41587-023-01733-8 We Offer Excellent framework conditions: state-of-the-art equipment and opportunities for international networking
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
also opens perspectives for applying and extending continuous Bayesian networks and bandit-based experimental design approaches to agricultural systems. Because of the computational demands of crop
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, including working with multivariate data. Substantial experience in code development and, preferably, experience with Bayesian statistical modelling techniques and software. Willing to develop expert