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Field
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involves qualitative data collection with people living with brain tumours, their communication partners, speech and language therapists (SLTs), and other healthcare professionals. Stage 2 uses co-design
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profound interest in inorganic chemistry, in both experimental and modelling applications. We are looking for candidates who are also interested in the analytical and numerical aspects of the work to support
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. For further information please contact Professor Nicola Walsh (Nicola.walsh@uwe.ac.uk) or Professor Sarah Voss (sarah.voss@uwe.ac.uk). For an informal discussion about the studentship, please email Professor
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This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing
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interpretation of platform data, stakeholder feedback, and project outcomes; maintain records and databases; and draft progress reports, technical reports, and academic publications. Contribute to the design
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Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
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Contract type: Full time (35 hours - 1FTE), fixed term (18 months) Detailed description The recruited candidate will be responsible for generating a database of qualitative data acquired through
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systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis skills Computational neuroscience background Behavioral data analysis skills Strong
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-3413 ), 4-Limited flight data for adaptive methods (doi.org/10.1016/j.geits.2022.100028 ), and 5- Failure to use a robust state estimator to increase robustness of EMS in eVTOL, have not been filled by
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the unique opportunity to develop skills in analytical, statistical and data science techniques, working with real world data to provide recommendations for UKHSA on how pharmacy OTC data could be used