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models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https://www.apply.uc.pt
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, prior distributions and posterior predictive checks, model comparison, programming in R (python/Matlab), implementations using R-packages rstan/JAGS and brms/STAN or equivalent interfaces. References
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Modeling and outputs. Implements Strategic Modeling governance, data-quality controls, and version-management processes. Leadership, Team Management, and Staff Development Directly supervise two Strategic
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of £280,000. Responsibilities include creating and refining models to predict particle behaviour, calibrating them to 95% accuracy, and establishing sensor systems for real-time data acquisition. You will
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(1), 4. https://doi.org/10.3390/jrfm18010004 Ashraf, M. (2025). Does automation improve financial reporting? Evidence from internal controls. Review of Accounting Studies, 30, 436-479. https://doi.org
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spatial transcriptomics data from quality control through generation of results under minimal supervision. Develop and publish manuscripts related to using multi-scale data for predicting disease and
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additional controlled evaluations using both simulated data and real ephemerides, including Low Earth Orbit satellites. The grant will prioritise: quantitative validation of prediction accuracy
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
Automata (CAFE) to considerably reduce calculation times and improve the response of numerical models. The numerical models will include laser-matter interaction, melt, and microstructure prediction models
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Position Information Position Information Working Title Manager, Biophysical Model Design (Temporary) Department Biochemistry-0831 Requisition Number S_260080 Posting Open Date 02/04/2026
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, version control) and numerical workflows. Experience programming for data analysis and model workflows (e.g., Python, MATLAB; FORTRAN/C familiarity for model configuration). Demonstrated verbal and written