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machine-learning models to investigate how brain, environment and social factors influence cognition, ageing and neurodegenerative disease. The role will contribute primarily to WP6 and related analytical
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in 3D Printing and a wellspring of knowledge, delivering state of the art and innovative solutions to the industry. SC3DP is at the forefront of developing advanced technologies and high-impact
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generative modeling, with a focus on flow matching and related techniques. To produce publications in top conferences and journals. To offer guidance and assistance to any students involved in the project
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, multi-site provincial initiative that will advance our understanding of how genetic factors influence cardiac structure and function, and yield AI models that link phenotypic findings with genetic data
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computational modelling, system development, and experimental studies. Publish and disseminate research findings through high-quality journal and conference publications, presentations, and other scholarly
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of PhD submission. Strong scientific programming skills in Python. Knowledge of mathematical models of biological systems and numerical methods for differential equations. Experience developing and
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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or relevant field with relevant experience and have sufficient specialist knowledge to work within an established research programme. You will have demonstrable experience in preclinical models of cancer and
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1st November 2026 Languages English English Norsk Nynorsk English Postdoctoral Research Fellow position within coupled geodynamic-glacial erosion modelling Apply for this job See advertisement UiB
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research. Key Responsibilities: Develop, implement, and optimize machine learning/deep learning models for digital pathology image analysis Analyze large-scale histopathology, omics, and clinical datasets