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Madison, Wisconsin, United States
Onsite
The Computer Vision Engineer will lead efforts to develop sophisticated image analysis methods and cutting-edge approaches for analyzing optical images of biological samples. This position will develop graphical user interfaces (GUIs) and implement tailored image analysis approaches to enable collaborating scientists to use these tools for each. Duties of this position also include contributing to instrument design projects, advising and assisting in developing instrument control workflows, and developing automation methods. This position will oversee day-to-day operations regarding computational workflows and analysis pipelines developed in the lab. Additional responsibilities include assisting with grant applications and scientific/technical manuscript preparation, as well as generating progress and other reports for internal and external parties. The position requires interaction with collaborating scientists to advise them on image analysis tasks or advance projects and technologies.
The expected end date of this position is September 15th, 2027. This position has the possibility to be extended or converted to an ongoing appointment based on need and/or funding.
Center for Quantitative Cell Imaging - Office of the Vice Chancellor for Research
The starting salary for the position is $74,154 (but is negotiable based on experience and qualifications).
Significant experience (>10 years) with scientific computing, image analysis, and
experience in developing Machine Learning Based Image Segmentation. Programing skills in MATLAB, Python, and Java Experience working with light-sheet microscopy data and with sCMOS cameras.
Superior technical writing skills and the ability to work with team members from diverse scientific backgrounds.
MS in Physics or Geophysics, Electrical Engineering, Computer Science, or Math
Please click the Apply Now box to start the application process. Please upload the following documents:
A current resume or CV highlighting your experience, training, and/or credentials relevant to the position.
A cover letter describing your interest in the position, summarizing your relevant experience, and explaining how your background aligns with the requirements of the role.
Please note, there will only be one attachment field. You must upload all of your documents in the attachment field. Applications submitted without both documents may still be considered, but both a cover letter and resume are required to guarantee consideration.
Christopher Johnson
christopher.j.johnson@wisc.edu
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