42 postdoctoral-position-in-molecular-dynamic-simulation-self-assemble-polymer PhD positions at University of Nottingham
Sort by
Refine Your Search
-
the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
-
Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading academics from 5 universities, and 11
-
will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading academics from 5 universities, and 11 industry leaders in pharmaceutical
-
, Physiology and Neuroscience (PPN) in the School of Life Sciences at the University of Nottingham. The role will explore the molecular pharmacology of receptor tyrosine kinases (RTKs), focusing on how
-
technology review to understand this technology and its recent development for electrical engineering application. Real-time simulation platform skills development including Typhoon and SpeedGoat. Development
-
for 2025/26 academic year, increasing in line with inflation). Research training and support grant (RTSG) of £3000 per year. Funding is available for 4 years. Hours: Full Time Closes: Open until position
-
Institutes (Research Institutes of Sweden) to large industrial manufacturers (UPM-KYMMENE ). The student will also work alongside a Postdoctoral researcher at Nottingham to design and create small scale
-
with both academia and industry. We are looking for a self-motivated student, with an inquiring mind who would revel in pushing the boundaries of technology. Context and Challenge The airtightness of a
-
, analytical and experimental techniques to investigate potential fuel additives to understand the mechanical, chemical and environmental impacts. We are looking for an enthusiastic and self-motivated person
-
workspaces under positional restrictions. Develop smart control algorithms that will allow the robotics end-effectors to communicate with the central control system and coordinate tasks with other end