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Chair of Biological Imaging 02.02.2026, Academic staff We are looking for a candidate (m/f/x) who will use the combination of our spectroscopy infrastructure, and structural information
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 days ago
machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. The ideal candidate will have a
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information processing. The position is part of a pioneering, international, dual-lab initiative including UCalgary and the Raman Research Institute in India, creating a platform of collaboration and exchange
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toward the postdoc's chosen trajectory (academic, industry, or otherwise). Anticipated Division of Time Research design, execution, and data analysis: 70% Manuscript and grant/fellowship writing: 15
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geometries and material configurations, (ii) optimization of material choices and manufacturing processes, (iii) mechanical characterization of the built propellers. The PhD researcher will interact with
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processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic teaching and research environment that is internationally recognized for its excellence in connecting
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
: oversee the management and operation of a state-of-the-art aberration-corrected Nion HERMES 200 scanning transmission electron microscope (STEM) optimized for both atomic level imaging and high energy and
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computational approaches to uncover the molecular and cellular mechanisms of health and disease. Projects exploring biological questions, cellular processes, or precision medicine through the exploitation
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batteries, fuel cells, supercapacitors), biotechnology and protein engineering, and enabling the efficient processing of vast astronomical datasets. Successful candidates will be expected to augment and
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quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework for tissue self