-
, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
-
collaboration, we are building a high-throughput single-cell analysis platform that combines microfluidics, advanced imaging and AI-based analysis to study gut microbial consortia. You will drive the development
-
experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image analysis / computer vision, ideally
-
mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
-
, Arctis). Integrate novel future hardware technologies, e.g., double Cs/Cc imaging correctors, Helium temperature and STEM, into sustainable internal and external user operation. Engaging with researchers
-
computer systems. Write reports and research articles, as well as grant proposals, and regularly participate in international conferences to present your own work. Your Profile: Master with subsequent PhD
-
assays and live-cell imaging. Working at the interface of microfluidics, quantitative microbiology, and AI-assisted microscopy, you will transform these methods into a robust screening platform. Beyond
-
operation. Engaging with researchers and vendors to explore emerging techniques and prototype developments in the field in close coordination with ER-C directors. Training, supervising and mentoring cryo-EM