Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
reliably (in terms of repeatability, yield etc) and controllably make metal organic frameworks at scales from g/hr to tn/hr. Motivation Promethean Particles is a spin out from the University and have
-
be used to meeting a high level of customer expectation. An understanding of cleanliness and infection control is advantageous, as will the desire to undertake regular development and training courses
-
the volume and weight of power electronics converters. The research will take place at the Power Electronics, Machines and Control (PEMC) Research Institute, University of Nottingham. The successful
-
offers an exciting opportunity to undertake cutting edge research in electrical machines within the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute , University
-
in electrical machines within the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art
-
from the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art electric motor manufacturing
-
Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art electric motor manufacturing platforms at both locations
-
control of the electrical power system for aircraft applications, ensuring system stability across a wide range of nonlinear loads and operating conditions. Aim You will have the opportunity to research and
-
, control, and manufacturing problems in real-world applications. We are seeking talented candidates with: •First or upper second-class degree in mechanical, mechatronics, robotics, cybernetics or related
-
position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing