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Kogias as part of his ERC Starting project titled CloudNG (https://cordis.europa.eu/project/id/101220079 ). The post will be based in the Department of Computing at Imperial College London at the South
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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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to industry best practices. Predictive Modeling and Statistical Analysis Build KPI scorecard and tracking process for the CMCR department. Identify and track KPIs that define performance success across career
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. Develop standardized, technology-adapted licensing models and agreement templates (exclusive/non-exclusive, early- vs late-stage, spin-off vs industry), including IP valuation schemes. Design quantitative
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or comparable analytics tools Proficient in data mining, visualization, and machine learning skills Understanding of predictive modeling, NLP, and machine learning Excellent organizational and time-management
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, surveys, faculty research, and business intelligence programs. Provides strategic direction for dashboards and predictive modeling, empowering leadership with real-time insights and key performance metrics
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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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FCT code 2023.17217.ICDT and DOI https://doi.org/10.54499/2023.17217.ICDT . , funded by COMPETE 2030 by Portugal 2030, and by the European Union, financial support from national funds/OE through
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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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, with three related ERC projects. Within hydrology, research, education and capacity development follow two main directions: i) process-based studies and modelling - from local scale water balance studies