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-throughput sequencing of genomes and biomes, continuous recording of video and audio in the wild, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats
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in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability to collaborate in interdisciplinary teams and work with
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data streams offered by techniques such as high-throughput sequencing of genomes and biomes, continuous recording of video and audio in the wild, high-throughput imaging of biological specimens, and
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clinical departments and other national and international research groups. Our research aims at acquiring a comprehensive picture of breast cancer risk and prognosis using epidemiological studies combined
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clean-room facility Staining and advanced imaging techniques (e.g., confocal microscopy) Isolation of primary immune cells or culture of patient-derived cell components Antibody-based biochemical assays
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doctoral student project and the duties of the doctoral student This project is financed by a an ERC Advanced Grant to Björn Högberg with the aim to generate images of RNA distributions in tissue using
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PhD project in ELLIIT , Linköping University. Your work assignments The selected candidate will conduct cutting-edge research on unconventional array antenna systems for imaging MIMO radar in
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support. This research project focuses on the functional structure of X-ray detectors based on organic frameworks with heavy atoms, with applications in diagnostics, including medical imaging. The fine
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techniques including single cell multiomics, human sample analysis, mouse models of allergic diseases, imaging and advanced flow cytometry. Specifically, the student will characterise memory ILC2 skin niches
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instrumentation Practical experience in biological sample preparation Experience in programming (Matlab, Python) for image and data analysis What you will do Plan and conduct experimental work Develop scientific