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Field
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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 6 days ago
the benefited Research Fellowships, issued as defined in the model attached to the present public notice, in order to assess whether the candidates meet the necessary conditions to be able to benefit from
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needs. Conduct comparative and functional analyses to model biological processes, gene networks, and metabolic pathways. Contribute to the preparation of grant proposals and supporting materials. What is
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this role, you will contribute to TOZCA’s whole‑aircraft noise prediction capability, ensuring acoustics are robustly represented within the project’s wider modelling framework. You will develop, apply and
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sequence-function landscapes, using a combination of empirical data and ML methods (e.g. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern
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aims to use mouse models and human tissues in culture to determine how injury and disease affect the function and connectivity of peripheral and central neurons. Essential Functions Design and conduct
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. Key responsibilities will include but are not limited to: Design and execute thermomechanical characterization of polymeric/composite systems Develop techniques to fabricate model fiber/composite
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this role, you will contribute to TOZCA’s whole‑aircraft noise prediction capability, ensuring acoustics are robustly represented within the project’s wider modelling framework. You will develop, apply and
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statistical methods including multilevel modelling, psychometric scale validation (EFA/CFA), structural equation modelling and causal inference approaches appropriate for complex education datasets. Advise
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications