13 process-engineer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Liverpool
Sort by
Refine Your Search
-
(Research Staff) role is a fantastic opportunity to be part of a high impact and well-respected Researcher Development and Culture team, which serves the needs of the whole University from postdocs through
-
focused on the use of enabling technology, such as flow, to control complex chemical processes. With projects in supramolecular synthesis, organic materials, industry processes, automated optimization, and
-
-catalytic reactors and integrated processes, as well as the synthesis and characterisation of catalytic materials. The role will focus on reactor engineering, process intensification, and system integration
-
innovative pharmaceutical materials, drug delivery systems and medical devices to address unmet clinical needs. We are looking for a postdoctoral research associate in biomedical engineering, bioengineering
-
. Applicants should have a PhD, or have passed their PhD viva, in plasma science, physics, electrical engineering or a closely related discipline. Essential experience includes previous research on plasma-liquid
-
to complete a PhD within 3 months from the application closing date) in a range of fields including Physics, Chemistry, Materials Science and Engineering. To apply for the position please follow
-
, working closely with the Core Outcome Measures in Effectiveness Trials (COMET) Initiative. You will develop and evaluate natural language processing and machine-learning methods (including large language
-
will also investigate process optimisation algorithms, providing a route toward autonomous optimisation and ultimately enabling long term stable operation under variable load conditions. This post is
-
international collaborators, you will simulate fragmentation processes and model the influence of surface potential on secondary ion yields in the OrbiSIMS instrument. Your insights will help us decode how
-
-spectrometry-based proteomic and metabolomic workflows, quality control, quantitative data processing, statistical analysis and integration of proteomic and metabolomic datasets. You will also contribute to data