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analytics, or network analysis. • Experience in agent-based modeling or simulation is highly desirable. • Demonstrated ability to publish in internationally recognized peer-reviewed journals
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acquisition tools, signal processing methods and advanced data analytics. The successful candidate will also develop computational models of light transport in biological tissues, including Monte Carlo-based
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of placental function and reduce the risk of stillbirth. This post forms part of the internationally funded Wellcome Trust programme, which aims to develop new approaches to measure, model and predict pregnancy
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skincare routines through advanced Vision AI, Multimodal AI, and Foundation Models. The successful candidate will work closely with researchers from SNAIC, NVIDIA, and P&G to develop novel AI methodologies
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biological recognition molecules, and evaluating optical and spin properties and performance in model assays. There will be scope to propose and pursue new materials, chemistries and biomedical applications
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, advanced manufacturing, refining, and mining — and the pressure that growth places on shared energy, water, land, and community systems. Purpose Build and apply quantitative and economic models to assess
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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transformation. Area of Research Digital health maturity in primary care; development and validation of digital health maturity models and assessment tools; Delphi methodology; health services research; primary
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We are recruiting full-time Research Fellows to develop hybrid physics-AI methods for weather applications Available data include: • Numerical weather prediction (NWP) model outputs
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configuration control, model updates, retraining constraints and operational monitoring during missions; providing recommendations for the evolution of ESA PA&S practices, including potential input