Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
partnership afforded by the hub. About you Applicants should hold a PhD in Polymer Chemistry (or be close to completion) with some experience of polymerization catalysis prior to taking up the post. They should
-
techniques using polymer- and nanomaterial-based coatings. These advanced coatings will enhance not only the chemical and thermal stability of the LFP materials but also improve their electrochemical
-
Biotechnology research at Aalto University. The lab will develop next-generation methods to evaluate, understand, and engineer biodegradation of polymers such as plastics, microplastics, and textile-derived
-
(central Oxford). The post is funded by UKRI and is fixed-term to 31 December 2026. This is an on-site position only. The project aims to develop a computational model for biodegradable polymers degrading in
-
assembly phase transitions in multicomponent biomacromolecular solutions and/or 2) structural organization of polymer assemblies for functional materials (active and driven materials). The applicant can
-
funded by UKRI and is fixed-term to 31 December 2026. This is an on-site position only. The project aims to develop a computational model for biodegradable polymers degrading in water under mechanical
-
polymers and materials. Requirements Key Responsibilities for all Postdoctoral Researchers: Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation
-
hydrogen production mainly on polymer electrolyte membrane (PEM) electrolysis stacks. You would be working in an academic project and possible in an industrial research project, if the funding
-
are seeking a postdoctoral research associate to lead an innovative EU-funded project at the intersection of polymer chemistry, computational modelling, and machine learning. The primary role is to develop a
-
innovative EU-funded project at the intersection of polymer chemistry, computational modelling, and machine learning. The primary role is to develop a complete in silico framework to accelerate the discovery