Image Analyst, Center for Cellular Imaging, University of Gothenburg, Sweden
The national Centre for Cellular Imaging (CCI) at the University of Gothenburg is one of the leading academic imaging facilities in Sweden providing expertise and access to advanced microscopy to the research community, both locally and at other Swedish universities and abroad. The CCI is now looking for a dynamic and talented Image Analyst to engage with the Centre in answering a wide range of exciting scientific questions using data from different types of light and electron microscopy. The Image Analyst will support all aspects of image analysis, from experimental design to the interpretation and presentation of data.
The daily work for the successful candidate will include:
- Designing and implementing tools for image analysis and processing using ImageJ/Fiji, Icy, Matlab, Python etc.
- Set-up advanced workflows and programing, e.g. for image segmentation, intracellular protein distribution, quantification, pattern recognition, multi-spectral imaging, dynamic particle tracking, etc.
- Work with scientists for writing/implementing algorithms for solving image processing/analysis problems from multidimensional datasets acquired using confocal or super-resolution microscopy.
- Improvement of existing tools (computing speed, user interface, creating workflow).
- Providing and performing adequate statistical analyses.
- Analysis of multidimensional microscopy datasets acquired by researchers.
- Training of scientists in the use of developed tools and to make tutorials.
- The post holder will also participate in the teaching of practices/lectures for graduate and undergraduate students. .
Please apply online! Include a cover letter, your CV, list of publication, tree letter of recommendation, and a summary of past experience in the fields of image analysis!
http://www.gu.se/english/about_the_university/announcements-in-the-job-application-portal go to Researchers and other academic staff (25) to this position Associate researcher/researcher (PAK 2016/1796)