287 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" research jobs at Nanyang Technological University
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
discipline (e.g., computer science, data science, software engineering) Proficient in Machine Learning, Deep Learning, Python, Data Science, and AI/ML Toolkits Preferred Applicants with Master’s or PhD Degree
-
experimental data. Communicate findings clearly through technical reports, papers, and presentations. Collaborate effectively within the group and with external stakeholders. Be willing to mentor both
-
team members to ensure completion of deliverables Lead the design, performance and optimization of experiments with scientific rigor; Collect, analyze, and interpret experimental data Communicate
-
global fluidity, viscosity, crowding. Execute biophysical/biochemistry/molecular biology experiments and perform data analysis. Ensure effective communications among group members. Ensuring effective team
-
an emphasis on technology, data science and the humanities. At this group, you will be part of a vibrant research environment, working at the forefront of AI and RNA therapeutics. You will drive impactful
-
an emphasis on technology, data science and the humanities. The Lee Kong Chian School of Medicine’s Skin Program consists of world-class research groups focusing on inflammation and immunology, with a strong
-
an emphasis on technology, data science and the humanities. Professor Lim Kah Leong is a renowned scientist in the areas of neuroscience and mental health, particularly in the field of Parkinson’s Disease. With
-
explore the influences of magnetic field. In-depth study of plasma physics, surface chemistry, and thin-film deposition principles. Conduct independent research, analyze data effectively, and communicate
-
programmes into practice. Applicants with interest in doing post-graduate studies, honing their skills in conducting advanced data analysis and publishing research papers are invited to apply. This position is
-
technical and financial risk domains. Design, implement, and validate the LLM Risk Quantification and Insurance Support Engine, including model formulation, data analysis, and simulation of LLM risk scenarios