Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
related area. The candidate must have excellent synthetic and engineering skills and good communication skills. The candidate sought to work on projects related to the development of synthetic organic
-
RESEARCH FELLOW IN ARI(TRANSITION RISKS IN IMPLEMENTING FOREST CARBON INITIATIVES IN SOUTHEAST ASIA)
financing models can be developed and tested to support the equitable distribution of benefits while minimizing economic disruptions to traditional livelihoods? How can new digital technologies and AI be
-
relationships with people within and external to the university Self-directed learner who believes in continuous learning and development Show strong initiative and take ownership of work Major Challenges: Work
-
candidate to join the team as a Research Fellow. The candidate will be involved in the research and development in the area of microfluidics technology as well as collaborate with our clinical partners
-
-motivated candidate to join the team as a Research Fellow. The candidate will be involved in the research and development in the area of single cell analysis technology as well as collaborate with our
-
interest or experience in RNA therapeutics and high-throughput innovation. Enthusiasm for interdisciplinary collaboration, particularly with computational team members focused on AI model development
-
Sun on LRRK2 project under a project on Develop novel allosteric inhibitor of LRRK2. The main responsibilities of the position include: 1. Developing innovative methods for the structural analysis
-
Researcher. The successful applicant will work with Prof. Wang within the NUS AIoT Group. We pursue research and develop disruptive technology in satellite network, wireless systems, sensing, and AI. We build
-
of developing next-generation biohybrid electrogenic systems that combine the benefits of living organisms with synthetic, and bioelectronic components. The lab’s research strategy focuses on designing synthetic
-
skills to develop experimental methods, troubleshoot process issues, and interpret complex data sets. Utilize data analysis software, simulation tools, and relevant programming languages for modeling