Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
in stem cells, tissue engineering, microfluidics, organ-on-a-chip, 3D bioprinting, and non-invasive imaging to mimic various microphysiological features of tissues in health and diseased states and for
-
. To set up and analyze experiments and datasets under different conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in a form of
-
programmes and see to the marketing of our programmes to relevant audience. Requirements Enjoy connecting the dots and bringing people together to make projects happen Ability to see the big picture while
-
to seamlessly integrate behavioral and imaging data into REDCap and export it as needed. Data Organization and Analysis Pipeline: Streamline data preprocessing through automated format conversions (e.g., CSV
-
of optomechanical and imaging projects. The role will focus on the manufacture and design of optomechanical assemblies. Key Responsibilities: Manage the end-to-end effort for the design and production
-
. Set up and analyze experiments and datasets under different conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in a form of
-
all project deliverables are met. Undertake these responsibilities in the project: Conduct technology review of sensor technology Develop algorithms/models for engine health monitoring Develop prototype
-
developing miniaturized medical imaging technology. Key Responsibilities: Lead the development of new bioimaging/therapeutic technologies and multi-functional approaches for translational medicine and biology
-
behaviours, animal surgery and dissection, calcium imaging, gnotobiotic studies and microbiome analysis, etc). The Research Assistant/Associate will learn and assist with a range of work, including but not
-
, AI and humans brainstorm, spar and prototype together, resulting in solutions that are elevated several-fold. This human-AI team concept has been made possible because of SUTD’s unique cohort-based