199 algorithm-development-"Prof"-"Prof" positions at University of Nottingham in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
or temperature. This project will develop the materials, methods, and designs necessary to 3D-print the next generation of electro-responsive soft-actuators. The overall aim is to develop and exploit new designs
-
to produce anti-counterfeit markings, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively
-
ultrasound. This project will develop the materials, methods, and designs necessary to 3D-print the next generation of medical micro-robots targeting drug delivery, exploiting combinations of functions
-
The School of Physics and Astronomy is seeking to recruit a Research associate / fellow to undertake development of magnetic field technologies supporting the development and commercialisation
-
campuses. The role-holder will join a multidisciplinary team conducting research in the development of microwave technologies for circular economy applications. You will work on an exciting project
-
developing ideas for application of research outcomes. This post also be linked to research activities linked to the Faculty’s research platforms such as the Power Electronics, Machines and Control Research
-
and to support the development of a new medical curriculum to be launched in 2026. You will work alongside colleagues from the School of Medicine Education Centre to develop and support the delivery
-
This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
-
). As Senior Trial Manager, you will support the Director of the NCTU and the Operations Team in developing and running our expanding programme of high-quality clinical trials of national and
-
translation of innovative miniature, hair-thin imaging devices we have previously developed [https://doi.org/10.1117/1.JBO.29.2.026002]. These devices are designed to enable early and accurate detection