Sort by
Refine Your Search
-
Science, MBZUAI. Dr. Ho specializes in distributed machine learning and systems architecture. His expertise drives the design of robust, parallelized systems required to scale massive biomedical imaging models
-
, fluorescence imaging, bioinformatics, and advanced nano- and micro-engineering to decode organogenesis and early embryogenesis, translating these insights into regenerative medicine, drug discovery, and
-
the frontiers of developmental biology and disease modeling. The laboratory integrates stem-cell biology, fluorescence imaging, bioinformatics, and advanced nano- and micro-engineering to decode organogenesis and
-
quantitative imaging is advantageous but not required. Applications will be accepted immediately and candidates will be considered until the position is filled. The successful candidate will be appointed as a
-
Post-Doctoral Associate/Associate Research Scientist in the Division of Science (Biological Physics)
research is preferable. Prior experience in the experimental techniques used in the lab such as optical tweezers and quantitative imaging is advantageous but not required. Applications will be accepted
-
tailored to dynamic, human-centered environments. They may also work with diverse signal modalities, including vision, speech, images, and physiological signals. Preferred Experience: The lab highly values
-
, fluorescence imaging, bioinformatics, and advanced nano- and micro-engineering to decode organogenesis and early embryogenesis, translating these insights into regenerative medicine, drug discovery, and
-
. The work will include algorithm design, prototype implementation (e.g., in MATLAB/Python), deployment to robotics applications; onboard computational hardware using the Robot Operating System), and
-
records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field
-
healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics