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understanding of acoustic backscatter communications as well as developing a prototype demonstrator in our communications/ultrasound laboratory. We expect results in both these dimensions to result in scientific
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work will increasingly focus on wet lab experiments using cancer cell lines, organoids, and animal models, including imaging and molecular analysis. The project is well-suited for candidates with a
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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
based on multimodal data that have the potential to result in a paradigm shift from focus on “prevention with one size fits all” to “precision prevention”, the latter meaning specific preventive therapies
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assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. Description of the workplace
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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interdisciplinary, combining advanced imaging techniques, biophysics and cell biology. It involves experimental lab work, the creation of model cell surfaces, and studies using super-resolution fluorescence
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Spatial metaTranscriptomics methods and thus also handling of image data. The PhD student will interact with other team members to a large extent. For this purpose, we are looking for a PhD student with
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grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The position is part of an on-going
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, biophysics, and computational biology. You will work closely with an experienced team and collaborate with experts in molecular biology, hormonal signaling, microscopy, biomechanics, image processing and
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combines leading expertise and unique know-how in theory, modelling, synthesis, atomic-scale imaging and spectroscopy, and nanoelectronics aiming to unlock the potential of AlN and UWBG materials for next