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controllability • Learning and calibration strategies for uncertainty-aware language model prediction • Knowledge-augmented and neuro-symbolic approaches for language-based reasoning • Evaluation and design of LLM
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sensor data with gas transport models for improved detection. · Developing numerical methods to enhance prediction accuracy. · Collaborating with MIRICO’s Digital Team to optimise performance
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, Clin Infect Dis 58: 1424–1429. https://doi.org/10.1093/cid/ciu102 Chalghaf B, Chemkhi J, Mayala B et al. (2018). Ecological niche modeling predicting the potential distribution of Leishmania vectors in
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plague outbreaks in Eurasia between 1300 and 1900 CE. A short description of the project can be found here: https://www.synergy-plague.org/research/introduction/. The project is funded through the European
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processes (attentional control and working memory) that are known to contribute to language learning, 2) if these cognitive and neural predispositions predict individual rate of subsequent language learning
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
with experience in causal inference predictive modeling, and data linkages will be given preference. Preferred candidates will have a strong publication record for their career stage, strong oral and
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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, administrative databases, clinical studies, and patient networks. - Development of predictive and risk models based on Real World Data. - Ensuring compliance with regulatory standards (EMA, FDA, etc.) in the use
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. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. In
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– and building on recent advances in foundation models, neural model predictive control, and robotic world models – this PhD project will investigate principles and mechanisms for a shared autonomy