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large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and
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scientists, from young talents to established researchers, across machine learning, statistics, logic, language technology, and ethics. You will be also part of the Digital Signal Processing and Image Analysis
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, across machine learning, statistics, logic, language technology, and ethics. You will be also part of the Digital Signal Processing and Image Analysis (DSB) group in the Department of Informatics at UiO
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advantage to have experience with neurodegeneration research. Experience with imaging techniques and/or behavioral testing in rodents is advantageous. It is an advantage to have expertise in genetic cell
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research. Experience with imaging techniques and/or behavioral testing in rodents is advantageous. It is an advantage to have expertise in genetic cell tracing techniques. Experience in managing mouse
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two-photon calcium imaging and/or Neuropixels electrophysiology. A strong background in analytical and/or statistical analysis, along with proficient programming and coding skills, is essential
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will have experience with zebrafish models, light stimulus design, hyperspectral imaging, and behavioural monitoring. You will be adept in coding and analysis using tools such as MATLAB and Python
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. Experimental work could include the design, construction, and testing of prototype storage systems, while simulation efforts may focus on thermal modelling, system optimization, and safety analysis
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(this overlaps with the former themes as 2D and 3D vision is often integrated with language). Related papers by the Vision-CAIR members Theme A : Aligning Latent and Image Spaces to Connect
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, hybrid, and highly collaborative lab. This computational genomics postdoctoral fellow candidate is expected to leverage the single-cell/bulk-cell multi-omics data, spatial omics data, and image data