314 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" positions in Norway
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that gives you the opportunity to develop a strong profile as researcher. You will also gain valuable experience that might be relevant for your further career. Large language models (LLMs) are today a central
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. This is an educational position, which will provide promising research recruits the opportunity for professional development through studies towards a PhD-degree. The position is connected to the PhD
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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contribution to the development of a high-quality education Initiate and carry out high quality academic research Contributing to the continued development of the research group in finance and the department’s
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the methodologies for preventing unintended, harmful behaviors in open-source AI models. Your work will focus on the foundational challenges of safety, from mitigating algorithmic bias to ensuring systems remain
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to develop intelligent systems that are both data-efficient and physically consistent. The successful candidate will contribute to advancing novel methodologies that integrate domain knowledge with learning
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. The goal is to contribute broadly to research on applications of AI in medicine, and in particular to the development and validation of novel computational language models, algorithms, and tools
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a research fellow (PhD position) in data analysis and development of statistical methods in epidemiology and genetic epidemiology for a period of 3 years with a possible extension to 4 years. Western
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at the University of Bergen. The Department hosts the Center for Digital Narrative (CDN) , a Norwegian Centre of Research Excellence. The Center focuses on algorithmic narrativity, new environments and materialities
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PhD level Active contribution to the development of a high-quality education Initiate and carry out high quality academic research Contributing to the continued development of the research group in