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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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critical component analysis, and (iii) development of Automation of ML model and data selection. The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed
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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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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 We are seeking outstanding candidates for two fully funded PhD studentships to explore how natural selection has driven global disparities in disease susceptibility—through the powerful
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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