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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months 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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combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get
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fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model organism will be Bacillus subtilis, but other bacteria as well as fungal species including
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» Computer engineering Engineering » Simulation engineering Researcher Profile Recognised Researcher (R2) Application Deadline 15 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job
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(e.g., transcriptomics, proteomics, metabolomics) - Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques - Analysis of next-generation sequencing data - Programming skills (e.g
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for the direct spatio-temporal measurement of the turbulent dissipation rate at a solid wall. New post-processing algorithms are also developed for Particle Image Velocimetry to measure extremely dense 3D time
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. Support from the IBB Welcome Center with moving to a new place (https://welcome.ibb.edu.pl/ ). Delicious coffee and fruity Wednesdays. Selection process Required documents: CV including scientific
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an expert in the extracellular vesicle field with skills in genetic engineering of extracellular vesicles (including transient/stable transgenesis of zebrafish), live embryo imaging, and spatial
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Anaerobic Digestion (AD), brewing, distilling and dairy processing, are operated sub-optimally and as such are experiencing loses in productivity, yields and profits. These loses could be alleviated if key
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of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology to better understand, diagnose and treat diseases with particular interests in cancer and