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Project title: Developing and Evaluating Interpretable Approaches for Human-Centered Machine Learning.Project description: Approaches in interpretable machine learning offer promise in understanding
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tools such as LTSpice (preferred)/TINA/Multisim. Knowledge of low-power biopotential amplifier design and energy harvesting techniques is preferred. Candidates with machine learning skills, particularly
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to inform the development of evidence-based tools and resources to support journalists and communication professionals. The post will also provide the opportunity to develop a range of highly transferable
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or equivalent) Experience with machine learning tools (e.g., Scikit-learn, Tensorflow, PyTorch, etc.) Track record of publications/and conference papers in software modelling or programming, or system level
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fence-building, policing, military presence, infrastructure-development and domestic policies relating to citizenship and national security. The research will contribute to debates on migration, security
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focus on the Union’s potential to regulate the use of AI and to protect EU digital sovereignty. Existing scholarship on the military applications of artificial intelligence focuses either on global-level
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satisfying the English language requirements (if English not first language). Applications must be submitted through Google Docs (via the ‘Apply’ button above). Closing Date: The closing date for applications
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1.5 Years, Specific Purpose Whole-Time Post Position Summary Applications are invited for the position of Research Assistant - Laboratory for smart drug delivery technologies at the School
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Post Summary Project Description PhD applications are invited to develop advanced neuroimaging biomarkers of Alzheimer’s disease in mid-life, asymptomatic individuals. The Problem Dementia is a
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modular training in parallel to research activities in years 1 and 2. The duties associated with this post include: • Liaising between the cell biology and molecular biology teams