Sort by
Refine Your Search
-
learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET)/computed tomography (CT) angiography imaging. As a Project Scientist, you will work
-
strong focus on (deep) machine learning are: Trustworthy and interpretable AI with uncertainty quantification Detection and characterization ofsub-visible particles in microscopy images
-
imaging, virtual imaging trials, or related quantitative imaging sciences. Preferred Qualifications Five or more years of combined graduate and/or postdoctoral research experience in AI/deep learning
-
Primary Work Address: 77 Massachusetts Avenue, Cambridge, MA, 02139 Current HHMI Employees, click here to apply via your Workday account. About the Lab: We are seeking a Postdoctoral Scientist to
-
interdisciplinary thinking. Opportunities to learn and collaborate through Dr. Rodriguez’s affiliation with Yale’s Wu Tsai Institute . What you’ll do: Design and build a state-of-the-art deep-tissue imaging platform
-
visiting https://rodriguezlab.yale.edu/ About the Postdoctoral Scientist role: This role is an ideal fit for an intellectually curious, creative, and driven scientist ready to gain further professional
-
research groups focused on molecular biosensing for point-of-use applications. To learn more, visit MOBIUS website at https://mobius.org.au/ The primary objective of MOBIUS is to accelerate the growth
-
quantitative, research-oriented postdoctoral scientist with strong AI/data science and statistical modeling expertise. The ideal candidate will have advanced coding skills and a deep interest in translating
-
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