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that mitochondria across a diverse range of other species might face the same pressures. This project will explore this hypothesis, combining live-cell imaging of mitochondria in plants, algae, and marine metazoa
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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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measurements, biogeochemical rate modelling, high resolution 3D-imaging, isotope labelling and integrated geobiological data analysis. Analytical approaches implemented can include a multitude of advanced
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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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demonstrate good collaborative skills. Applicants must be proficient in both written and oral English. Experience from one or several of the following areas is an advantage: Programming, image processing and
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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