119 machine-learning-"https:"-"https:"-"https:"-"https:"-"The-Open-University" positions at University of Birmingham
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records that can systematically inform preparedness, training and future response. As a result, learning from past events is fragmented, inconsistently captured, and insufficiently embedded into emergency
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programming (e.g., Python/C++), machine learning frameworks, or robotics software environments such as ROS. You are motivated to work in a multi-disciplinary research environment combining engineering, AI, and
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Professor in Bioinformatics Education to support teaching across our portfolio. It is expected that the post-holder will support teaching in Machine Learning related modules. The post-holder will be expected
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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insights into datasets. Apply machine learning methods to integrate multi-omics data with real-world clinical outcomes data. Provide assistance to the research group in dataset management, upload to public
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If you want to pursue a research career at the intersection of additive manufacturing (AM), microstructural engineering and advanced statistical/machine-learning (ML) based modelling, then this PhD
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advising others on learning and teaching tasks and methods. Given the education-focused nature of this role, all candidates must include details of the level and nature their teaching experience (including
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The Centre for National Training and Research Excellence in Understanding Behaviour (Centre-UB) in partnership with the King’s Centre for Military Health Research (KCMHR), King’s College London (KCL
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Reniers, who bring expertise in the areas of human computer interaction and psychology respectively. The PhD student will be co-supervised by DfT’s Behavioural Science team, work alongside DfT teams at key
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future of formulated polymers. We are seeking a Research Fellow in Computational Chemistry and AI/Machine Learning to advance the state of the art in understanding the degradation and biodegradation