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Displaying posts with the tag: is_archive

Structural Repetition Detector (SReD): quantitative mapping of molecular complexes through microscopy

Posted by , on 23 September 2024

Unbiased, multi-dimensional, multi-scale and GPU-accelerated analysis of structural patterns across all microscopy modalities From biomolecules to larger assemblies and cellular architectures, molecular structures govern biological processes. Identifying these repetitive patterns is essential to understand their functions and the underlying biological mechanisms. While microscopy offers molecular-level detail, manually detecting structural motifs is labor-intensive, susceptible to bias,

Image Analysis course with Fiji/ImageJ

Posted by , on 18 September 2024

Online course introducing you to the basics of image analysis, including automatic segmentation, colocalisation, denoising, 3D, etc.

Image Analysis course with Fiji/ImageJ

Posted by , on 20 March 2024

An online course introducing you to the basics of image analysis, including automatic segmentation, colocalisation, denoising, 3D, etc. Two sessions, happening in May and June 2024.

Image Analysis course with Fiji/ImageJ

Posted by , on 20 February 2024

An online course introducing you to the basics of image analysis, including automatic segmentation, colocalisation, denoising, 3D, etc.

Image Analysis course with Fiji/ImageJ

Posted by , on 3 December 2023

We would like to invite you to an online course introducing you to the basics of image analysis, including automatic segmentation, colocalisation, denoising, 3D, etc. This course will start on February 5th, 2024. Sign-up and additional details here. What You’ll Learn This course consists of five 2.5-hour live interactive online sessions, where you’ll dive into

Postdoctoral Research Associate - SMLM data assessment at King's College London

Posted by , on 8 September 2023

Closing date: 2nd October 2023. Full time post offered on a fixed-term contract until 31st August 2026. Salary range: Grade 6, £42,405 – £47,178 per annum, including London Weighting Allowance. Link to apply: https://www.kcl.ac.uk/jobs/074054-research-associate-department-of-randall-cell-and-molecular-biophysics Informal enquiries to susan(dot)cox(at)kcl.ac.uk or sian(dot)culley(at)kcl.ac.uk Job Description Applications are invited for a postdoctoral research position to work on data assessment

Image Analyst at Harvard Medical School

Posted by , on 27 February 2023

We are looking for two or more smart, skilled, and enthusiastic bioimage analysts, to join us as soon as possible. Harvard Medical School (HMS) is a world leader in biological and biomedical imaging, with an outstanding community of researchers using cutting-edge microscopy to advance the field. The Image Analysis Collaboratory (IAC) is dedicated to training

Postdoctoral Research Associate, Imaging Network, University of Münster (Germany)

Posted by , on 5 May 2021

The Microscopy Unit of the Imaging Network at the University of Münster, Germany, is seeking to fill the position of a Postdoctoral Research AssociateWissenschaftliche/r Mitarbeiter/in(salary level TV-L E 13, 100%) from 1 June 2021. We are offering a fixed-term full-time position for 5 years. Full-time employees are required to teach 4 hours per week during

A career path to bioimage analysis

Posted by , on 9 December 2020

I am currently working in Heidelberg, Germany, finishing my PhD thesis between the medical university of Heidelberg and the microscopy company ACQUIFER. My research project is dedicated to the development of user-oriented software solutions (Fiji plugins, KNIME workflows…) to facilitate the handling and analysis of large microscopy datasets of 2D images. The project is motivated

Bioimage Analysis in FIJI - Resource List

Posted by , on 14 September 2020

If you are on this site, you might be aware of some of the open source image processing and analysis tools are available to you. The toolbox in this space is rapidly expanding. But that doesn’t always mean it’s easy to navigate – it can actually be quite daunting. Luckily the bio-imaging community is friendly