111 structures "https:" "https:" "https:" "https:" "https:" "University of Kent" Fellowship research jobs at Nanyang Technological University
Sort by
Refine Your Search
-
simulations (in both MC and MD) to contribute to our project focused on developing topology-enhanced physical models for biopolymer structure and interaction analysis. Understanding the structure-function
-
Experience with 2D and 3D skin models including skin explants is desirable Able to function independently Structured and disciplined in the conduct of research work Able to deal with time pressure Hiring
-
logic, particularly in the area of computability theory and applications to mathematical structures and processes Collaborate with the research team on ongoing projects, exchanging ideas and insights, and
-
a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including cell biology, structural biology, infectiology, immunology, genomics and cancer biology
-
photonic interactions, light-matter coupling and/or structured light optical systems. Should have strong background in nanofabrication and sample preparation methods Should show ability to work independently
-
of empathy in shaping health outcomes; access to healthcare; the implications of concepts such as the ‘medical gaze’ and ‘epistemic authority’; the social construction of health; the narrative ethics
-
manage research process Oversee participant recruitment, including liaising with school personnel Conducting literature review Conducting interviews Develop survey construction, evaluation, and
-
mechanics methodologies to address fundamental questions related to the microscopic mechanisms governing slow relaxation, structural heterogeneity, and emergent collective dynamics. By bridging concepts from
-
coatings e.g. oxide and nitride. Drive the comprehensive characterization of thin films using advanced techniques (e.g., SEM, XRD, Raman, AFM, nanoindentation), enabling deep understanding of structure
-
comprehensive understanding and providing evidence for decision-making support regarding the impact of climate-driven natural hazards on local agricultural productivity. The study begins with the construction