425 developer-"https:"-"https:"-"https:"-"CNRS-" Postdoctoral positions in United Kingdom
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in RF systems, radar, and space-related research. You will play a key role in the design, development, and validation of an L-band phased-array breadboard system for detecting plasma disturbances
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to think critically about experimental design, develop and test hypotheses, and integrate data from multiple approaches to address fundamental biological questions. The post-holder should hold, or be
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The `Antibiotics for Global Health¿ research group has a longstanding track record of research excellence in the discovery, development and deployment of antibiotics to improve global health
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to the presentation of research papers in conferences and publications. To prepare and deliver presentations on research outputs/activities to audiences which may include: research sponsors, academic and non-academic
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for new research directions. The post-holder will be encouraged to think critically about experimental design, develop and test hypotheses, and integrate data from multiple approaches to address fundamental
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fundamental discovery to patient care. Our laboratory focuses on advanced label-free optical technologies for disease detection and characterisation. We develop fibre-optic and multimodal imaging systems
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interdisciplinary team using cutting-edge approaches to explore the design and development of climate services for pastoral communities in East Africa. The University of Edinburgh along with partners at the Alliance
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at higher complexity and at higher spatial-temporal resolution. The Role: We seek a motivated postdoctoral researcher with an expertise in modelling, interested in applying these skills towards developing
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learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and
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. You will develop a high-fidelity 3D model of submerged Lower Nubian villages and build a Retrieval-Augmented Generation (RAG) pipeline in Google AI Studio Pro to create voice-enabled AI agents grounded