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Fluorescence in situ hybridization (FISH, CARD-FISH), advanced microscopy, community sequencing, and metagenomics The work will be carried out in the Archaea group, Section for Microbiology, Department
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
with advanced imaging techniques (confocal and light-sheet microscopy), transcriptomics, and other molecular assays. Minimum Education and Experience Requirements PhD in Cell Biology and Physiology
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Job Description Field of research: Single particle cryo-electron microscopy and X-ray crystallization of viral glycoproteins, immunogen design, virology, biochemistry and biophysics. Purpose
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fixed organization and user fees as described on the homepage (https://www.umu.se/en/research/infrastructure/biochemical-imaging-centre-umea-bicu/). BICU is part of a distributed National Microscopy
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-of-the-art techniques to assess the physicochemical properties of nanoparticles, ensuring their stability, drug release kinetics, encapsulation efficiency and electron microscopy imaging. Integrate innovative
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position will included tasks related to integration synthetic genetic engineering, time-lapse microscopy imaging, lab-on-chip technology and advanced computer model simulations -- El puesto de investigador
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Fluorescence in situ hybridization (FISH, CARD-FISH), advanced microscopy, community sequencing, and metagenomics The work will be carried out in the Archaea group, Section for Microbiology, Department
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of these receptors in cancer growth and progression using microscopy, cellular and molecular techniques. You will gain hands-on expertise in cutting-edge techniques, including: advanced cell microscopy at the Wolfson
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proejct ERC TimeNanolive. The laboratory has an on-site culture room and various microscopes for single molecule localization microscopy. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8214
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use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for microscopy image analysis are especially relevant. Include a link