Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
and data pipelines to enable real-time data acquisition and closed-loop control. Collaborate with AI researchers to implement machine learning models for adaptive experimental design and autonomous
-
analytics and re-examine the role of man-machine symbiosis at all levels of framework.
-
. The candidate will take the lead on machine learning and computational analyses, primarily supporting our translational research program focused on developing AI-based models to predict cognitive decline. This
-
enthusiasm and interest in flexible electronics, bioelectronics, neurotechnology, brain-machine-interface research. Biological systems are typically soft and highly dynamic with cellular growth and functional
-
should demonstrate strong expertise in robotic systems, with experience in one or more of the following areas: robot perception, 3D machine vision, object pose estimation/tracking, vision-guided
-
Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider regional and global partners. This is a senior scientific role
-
at least a PhD Degree in Epidemiology, Public Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a
-
powder bed fusion system, focusing on automation and control aspects of this novel machine and the implementation of an in-process monitoring system. This role is central to our efforts to push the
-
The AI Centre for Educational Technologies (AICET) is a research centre that is focused on developing technologies to improve learning. AICET collaborates with the Singapore Ministry of Education
-
and fund availability. Responsibilities Develop advanced statistical and machine learning modeling to conduct data analyses for large-scale multimodal (genomics, omics etc) studies. Conceptualise new