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). Experience with Oracle EPM Cloud (EPBCS, PCMCS, FCCS, Strategic Modeling) and with ERP/GL, HR/Payroll, and student system integrations. Experience implementing rolling forecasts, predictive analytics
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 19 days ago
learning models for antimicrobial activity prediction (e.g., Weka); - Strong communication skills; - Fluency in English (written and spoken). The candidate must demonstrate interest in microbiology and
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are analysed using big data and business intelligence applications to monitor tourisms. Additionally, predictive modeling methods are applied to estimate tourist mobility behavior and movement patterns between
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are seeking two motivated researchers or engineers with expertise in finite element programming to join an ambitious project modelling the complete neuromuscular dynamics of Drosophila larvae. This position
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variants cost-effectively. This role is vital to experimentally validate in a high-performance fashion the predictions done by our AI models and the feedback will be crucial to improve the models over time
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highly motivated PhD student to develop advanced models for predicting the fatigue life of additively manufactured steel in nuclear reactor water environments. The project focuses on modeling corrosion
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the University of Nebraska to change lives. Connections working at University of Nebraska Lincoln More Jobs from This Employer https://main.hercjobs.org/jobs/22026768/manager-biophysical-model-design-temporary
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hydrogenation, dehydrogenation, and hydrogen transfer reactions. Detailed characterization and kinetic studies will be performed to test computational predictions and microkinetic models, and to refine machine
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identification, i.e. learning of models from measured data, and iii) real-time control, e.g. using the model predictive approach. We are working on several projects with industrial partners across the energy
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-package of the ChiExCo program, which aims to develop a reliable computational protocol to predict, for organic chromophores, both chirality quantifying factors (gabs and glum) resulting from excitonic