92 parallel-processing-bioinformatics research jobs at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
Sort by
Refine Your Search
-
project leads and researchers to ensure technical accuracy of the interface Support integration of simulation outputs across Projects 3-1 and 3-2 Manage and process large sets of operational data for case
-
Vision, Video Understanding, and Multimodal AI. Design AI models for concept-driven video understanding of consumer facial care behaviours. Work with PI and company to develop the AI solution Develop novel
-
fish, macroinvertebrates and potentially plankton sampling ii. Laboratory based work involving sorting and processing of specimens and data collected during field work iii. Data analyses and technical
-
liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Bachelor’s or Master’s degree in Computer Science
-
Electrical Engineer to design, analyse, and operate high-power and high-voltage electrical systems, ensuring safe, reliable, and compliant operation across our facilities. The candicate will work closely with
-
ensure full compliance with Workplace Safety and Health (WSH) regulations and laboratory safety protocols. Manage procurement processes, including specification development, vendor coordination, and
-
Engineering, Communications Engineering, Computer Science, or a highly related discipline. A strong theoretical foundation and research background in wireless communications and edge computing. Strong
-
. iii. Teleoperation and Data Collection Develop and operate teleoperation pipelines for humanoid robot data collection. Collect, process, and manage robot demonstration datasets including perception
-
, fabrication data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency
-
specifications, performance frameworks, and implementation methodologies suitable for industry adoption. Lead the scale-up of laboratory processes (e.g. aqueous carbonation) to prototype and pilot systems