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contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing work, and modern AI practices
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recommendations based on the results of the analysis. Predictive Forecasting & Scenario Modeling (35%) Develop, maintain, and sophisticatedly model short- and long-term financial projections for the multi
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language-model evaluation that cannot be delivered by the project's development team alone. The post holder will design and optimise the retrieval architecture, evaluate embedding models, benchmark
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Description Funding project: ANR DGA-ASTRID ‘SAFE-FIRE-CABLE’ Host institution: “Reaction and Resistance to Fire” (R2F) team, UMET Laboratory ( https://umet.univ-lille.fr/ ), Centrale Lille Institut
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interim storage Predictive Analysis: Model and evaluate physical-chemical phenomena—such as diffusion, resolution, and bubble evolution, to deliver enhanced predictions of fission gas release (FGR
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. The knowledge gained will support the development of a predictive model for patient stratification, ultimately enabling the identification of more effective and personalized therapeutic strategies
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.) for 4 years. Please see: https://www.ox.ac.uk/students/fees-funding/fees/status for more information. The successful candidate will join the Duarte group in the Department of Chemistry to
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monitoring and modeling of biomanufacturing processes in Ecoli. Specifically, on building predictive models able to infer and optimize cell growth, product titer and product quality. Data collection
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physical properties predicted by Virtual-Coater™ can be translated into meaningful input parameters for battery modelling platforms. The ultimate objective is to establish a predictive modelling
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trade-offs between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also