19 data-"https:"-"https:"-"https:"-"https:"-"ENS-PARIS-SACLAY" PhD positions at University of Birmingham
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. The Materials for eXtremes (M4X) research group (https://more.bham.ac.uk/M4X/ ) investigates new alloys for extreme environments from fusion & fission reactors, to aerospace gas turbines and concentrated solar
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in-situ monitoring data, ex-situ characterization data and failure data from aggressive loading of AM samples. The activities will span across exploratory data analysis, mathematical model building
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Health emergencies, mass casualty events and disasters generate large volumes of operational, clinical and organisational data. However, these data are rarely synthesised into structured, analysable
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resilient. The PhD student will undertake a full research programme: interviewing participants, leading focus groups, designing studies, analysing data, developing models, designing technological, educational
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. This will provide uniquely high-resolution ground-truth data on particle and flow behaviour within RAM systems, supporting validation of CFD and multiphysics simulations and, where appropriate, training of AI
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interoperability is not solely a technical or procedural challenge, but a socio-technical system property shaped by governance, training, information flows, organisational culture and equity considerations
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There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast
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to think analytically and creatively. Good computer skills, plus good presentation and writing skills in English, are required. Previous research experience in contributing to a collaborative
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technologies. More information about the group can be found at www.ANMSA.com . We are seeking highly motivated, bright and enthusiastic candidates with a strong background in micro/nanofabrication
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how large language models can generate goal-oriented robotic programs from natural language task descriptions and contextual information. Developing agentic AI architectures that allow robots to plan