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Job related to staff position within a Research Infrastructure? No Offer Description Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models
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Apply now Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance
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. EAAS is hiring a total of 20 PhD/postdoc scientists to join the team, and our project/group leaders share the ambition of gender parity in hires across EAAS. If selected for this position you are
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culture of mutual support and collaboration between researchers. CML has two Departments: Industrial Ecology (CML-IE) and Environmental Biology (CML-EB). Presently, about 150 fte (including postdocs and
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collaborate closely with GGS partners across academia, industry, and government. Key responsibilities Developing life cycle inventories (LCA PhD) or material flow models (MFA PhD) in close collaboration with
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collaborate closely with GGS partners across academia, industry, and government. Key responsibilities Developing life cycle inventories (LCA PhD) or material flow models (MFA PhD) in close collaboration with
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for a: PhD Candidate in Emotionally and Socially Aware Natural Language Processing (1.0fte) Project description Current Natural Language Processing (NLP) systems, and especially large language models
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Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent years, practitioners and researchers have realized that predictions made by machine learning models should be
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) Project description Current Natural Language Processing (NLP) systems, and especially large language models (LLMs), are interacting with human emotions more readily than earlier AI systems, but we still
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years, practitioners and researchers have realized that predictions made by machine learning models should be transparent and intelligible. Although explainable AI methods can shed some light on the inner