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how AI is changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across
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machine learning methods for multimodal bioimaging data Build AI models predicting cell and exosome distribution in regenerative biomaterials More about the fellowship The purpose of the fellowship is
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learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and tissue reconstruction. The PhD candidate will work with
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changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across the network
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the Danish Cancer Institute in Copenhagen, and you will have the opportunity to undertake a research stay in Copenhagen. You will be part of a cross-disciplinary team of cell biologists and bioinformaticians
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opportunity to undertake a research stay in Copenhagen. You will be part of a cross-disciplinary team of cell biologists and bioinformaticians in the Division of Biochemistry at the Department of Molecular
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SINTEF. The project aims to develop an automated high-throughput platform for physiologically relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and
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relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and artificial intelligence. The successful candidate will become part of a multidisciplinary
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Department of Biology hosts internationally leading research activity in ecology, evolutionary biology, physiology, marine science and technology, and cell & molecular biology. As a PhD Candidate with us, you
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UiO/Anders Lien 4th October 2026 Languages English English English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the position We