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Field
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. The applicant will join a well-funded lab to engage in basic and translational neuroscience research. The laboratory uses in-vivo and in-vitro recording techniques including 2-photon imaging, whole-cell recording
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08/01/2025 Job Summary A research assistant position in biomedical imaging, data science, and artificial intelligence is immediately available in the Quantitative Bioimaging Laboratory at the Center
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. This postdoctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address scientific and sectoral gaps in biological
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repository and computer servers. Run existing PET/MR brain image processing pipelines on the computer servers, produce the results, and communicate with the group members. Write computer codes for the above
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live-cell imaging of mitochondria in plants, algae, and marine metazoa with computational analysis to find the universal principles of mitochondrial motion across these species. The project is part of
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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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lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin axon development. This project aims to establish a high
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cellular biology techniques, such as genotyping, survival surgery, histology, microscopy, electrophysiology, calcium imaging, or coding. The VR will be responsible for maintenance and genotyping of the mouse
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central part of everything we do. We also live by our values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and
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analysis of data, including functional brain imaging results, cognitive psychology and symptom ratings on patient and healthy populations to better understand the symptoms of psychosis. The data collection