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for clinical AI based on patient data from heterogeneous sources notably language/speech-based sources. The activity will focus on the development of a prototype implementation of early warning- and other AI
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understanding through an interdisciplinary approach combining micro-fluidics, with genomics, atomic-scale mineral dissolution measurements, biogeochemical rate modelling, high resolution 3D-imaging, isotope
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sequencing-based methods for immunological characterization. Fluent oral and written communication skills in English. Preferred selection criteria A strong background in imaging techniques and proteomics
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sources. The activity will focus on the development of a prototype implementation of early warning- and other AI-based decision support systems to study the effectiveness and safety of a novel clinical
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neuroscience and neuropsychology. Methods for brain-imaging and brain stimulation are employed to understand, predict, and change human behaviour. Further, basic human neuroscience approaches are translated
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of computational tools for analysis of omics and/or live-cell imaging data. Fluent oral and written communication skills in English. Desired qualifications: Experience with software development and programming (e.g
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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 colonies with multiple
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electrophysiology and sleep) and (ii) in spatial transcriptomics and high-resolution imaging. The selected candidate will work at the intersection of molecular biology and systems neuroscience, gaining a unique
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at risk of early follicle depletion (e.g. cancer survivors and patients with POI). The project combines molecular profiling, high-resolution imaging, and biomechanical manipulation using human ovarian
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ethics. You will be also part of the Digital Signal Processing and Image Analysis (DSB) group in the Department of Informatics at UiO. Francesco Saggio/UiO via Unsplash Francesco Saggio/UiO What skills