<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">Two NIH-funded positions are available in an exciting multi-institutional collaboration between the labs of Gabe Lander at Scripps Research, Scott Stagg at Florida State University, and Michael Cianfrocco at the University of Michigan. We are seeking outstanding candidates to help design and build next-generation software for automated cryo-electron microscopy data collection. The researchers are expected to build upon the foundations of the current data collection software to develop a new web-based interface that leverages machine learning tools for optimized data collection. The candidates should have a computational mindset with expertise in Python, databases, and/or web application design. No previous background in electron microscopy is required, but knowledge of structural biology will be considered a strength. This position will be an excellent opportunity for applicants who are looking to apply their computational expertise to the growing field of cryo-electron microscopy. The experience gained at this position is expected to train the researchers to seek career opportunities in academia or industry in the areas of data science/computational biology/structural biology. Applicants with a Ph.D or Master’s degree in Bioinformatics/Computer Science/Physics/Chemical/Mechanical/Electrical Engineering are encouraged to apply. The positions will be for three years including a one-year trial period. Interested candidates should email a brief cover letter stating your interest in our labs, a short CV and names and contact information of three referees to <a href="mailto:glander@scripps.edu" class="">glander@scripps.edu</a> and/or <a href="mailto:sstagg@fsu.edu" class="">sstagg@fsu.edu</a>.</body></html>