Sort by
Refine Your Search
-
. Grounded in the dyamic and collaborative Matter Research Community in the department of Physics, this project will expand and deepen the suite of microstate and magnonic control techniques in artificial spin
-
, particularly those is the Applied Mathematics and Mathematical Physics (AMMP) Section. The key areas of responsibility are in administration (25%), finance (25%), space and facilities (20%), recruitment and
-
by UKRI. The role of the Researcher will be to investigate the dimensional accuracy of stamped components, test the feasibility of scaling up the process to larger dimensions, establish a modelling
-
are essential requirements for the role: Hold a PhD (or equivalent) in Experimental Physics or a closely related discipline A strong experimental background in Ion Trapping and/or Atomic, Molecular and Optical
-
approaches that combine upper and lower limb physical interaction with locomotion. This is the only system worldwide to enable physical interaction with arms, legs, and supernumerary robotic limbs in dynamic
-
, SolidWorks), finite element modelling (e.g. ABAQUS) and physical experiments on small- and large-scale test specimens in the Structures Laboratory. Essential requirements Hold a PhD in structural engineering
-
of chemical catalysis by combining plasmonic induced reaction-promoting physics with the chemistry of photo-catalysis. The transformative impact of this new field of plasmocatalysis will lie in a significant
-
for maximising process water REuse and REsource REcovery through a smart, circular and integrated solution).” The project aims to revolutionize industrial water management in the EU, providing key
-
by EPSRC to carry out a 6-year long research work that can enable the development of the foundational technologies necessary for a mature end-to-end engineering process for biological systems. By
-
developing a digital twin based on the in-service and continuous data gathered by multiple sensors (strain, temperature, pressure), combined with physical based models and advanced data-driven methods