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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 3 months ago
associated. with neurodegeneration or ischaemic heart disease. Predicting optimised regenerative response. Developing and validating predictive biomarkers, personalized interventions, and AI-driven models with
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two main directions: i) process-based studies and modelling - from local scale water balance studies to continental water resource assessments, and ii) statistically based regional and large-scale
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personalizable computer replica of the immune system – to enable everyone and anyone to assess and optimize the health of their immune system and simulate and predict its future ability to respond to diseases. Why
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monitoring. • Develop numerical models to simulate the dynamic behavior of mooring and anchoring systems under different environmental conditions. • Analyze and optimize structural performance and predictive
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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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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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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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. Ingunn Wehus (i.k.wehus@astro.uio.no ). The ERC-funded Origins project has the goal of modeling the diffuse sky from 1 micron to 1 GHz, including contributions from the Cosmic Infrared Background (CIB