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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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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
. If the attachments exceed 30 MB, they must be compressed prior to upload. It is the applicant's responsibility to ensure that all attachments are uploaded. Documents submitted after expiry of the deadline will not be
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affect of sleep on brain health and cognitive processes. Magnetic Resonance Imaging (MRI) is used in the project in combination with cognitive, neuropsychological and somatic assessments. The position will
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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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, CRISPR-Cas9, drug screens, Fluorescence In Situ Hybridization and confocal and live-cell imaging. More about the position We are looking for a highly competent candidate with strong experimental background
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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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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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the University of Oslo, and the successful candidate will have the opportunity to perform field work to study fossil earthquakes and shear zones and7or experimental campaigns in large imaging facilities (e.g