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tumor models, including solid and liquid biopsies. The role requires proficiency in confocal imaging and molecular cloning, along with maintaining and culturing cells in tissue culture systems
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, as well as expertise in generating hypotheses on molecular mechanisms derived from omics data. Our lab develops technologies that integrate advanced imaging, computational analysis, and single-cell
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, pronunciation and grammar learning, and how this differs between individuals and learning contexts. The project makes use of behavioural, electrophysiological and brain imaging techniques. Your main tasks will be
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This project funded by the Hanarth fund combines ultrasound imaging with histopathology data to train advanced AI models for automatic tumor segmentation, enabling surgeons to make informed
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infrastructure for species identification and monitoring (for example in the ARISE and DiSSCo projects). We run nature identification services processing many millions of images/month for users including
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mechanisms by further exploring available post-mortem brain tissues and biofluids (blood and CSF) using various methods such as immunohistochemistry, incl. multiplex fluorescent imaging, RNA sequencing (bulk
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. The group comprises PhD-students and technicians all working on different aspects of complement regulation on human cells, employing techniques like ELISA, flow cytometry, confocal imaging, recombinant
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an underwater particle and plankton imaging system (UVP6), and a combination of morphological and molecular techniques (DNA metabarcoding). Focus areas are the polymetallic nodule fields in the Clarion-Clipperton
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regular interaction with the academics within the ISS and with the Institute Board you will be able to see the bigger picture and thus help setting aims and objectives in order to develop and improve our
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website (where project members/associates will be contributing blogs, annotated bibliography, and image-essays etc). As Student Assistant, you will also be welcome to develop your own research interests in