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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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an important role in the project working collaboratively with the PI and a postdoctoral researcher, and there will be excellent training and travel opportunities. The candidate will also have opportunities
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, motivation to learn new skills as well as excellent written and oral skills is essential.Example publications from the Lab:•Detection of host cell microprotein impurities in antibody drug products. 2024 Nature
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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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postdoctoral fellows in connected schools. As such, interdisciplinary work is welcomed, and candidates from all relevant areas of the Middle East studies are encouraged to apply.
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the School of History, to postgraduates and postdoctoral fellows in connected schools. As such, interdisciplinary work is welcomed, and candidates from all relevant areas of the Middle East studies
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that enable this pathogen to cause infection, to survive attacks by innate immune cells (macrophages and neutrophils), and to become resistant to antifungal medications. The student will learn and apply various
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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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. The scholarship holder will normally be expected to reside in the Munster region and may have opportunities to teach or tutor while undertaking their PhD (which would be remunerated separately). It is not possible