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Field
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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
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educational background, prior research or work experience on Natural Language Processing, Machine Learning, and/or Explainable AI. Our group and research -- and what do we offer? The successful candidate will
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contribution to proteinuria-induced kidney injury. Our research integrates molecular and cellular biology, mouse models, advanced imaging, and omics technologies to uncover mechanisms driving chronic kidney
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fracture processes at micro and meso scales influence the structural response at an engineering scale, and to use this insight to support the design of damage tolerant composite structures. You will be
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interested in applicants with experience in either (i) high-performance magnetohydrodynamic simulations or (ii) the analysis and imaging of Very Long Baseline Interferometry data, but outstanding candidates
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Atmospheric chemistry plays a central role in air quality, climate and human health, but many of the chemical and physical processes remain unexplored. Experimental studies under controlled
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procedure All applications must be sent via the electronic recruitment system, using the link below. The application must include: A complete, numbered list of publications and work in progress (indicating
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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molecular and cell biology, transcriptomics, epigenomics and metabolomics, bioinformatics, immune fluorescence imaging, electrophysiology, and animal models of immunity in health and disease. The lab's
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are software representations of physical assets, processes, or systems. They leverage real-time data to mirror the behaviour and characteristics of their physical counterparts, enabling predictive maintenance