Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
have, or expect to have, at least a 2:1 degree or equivalent in Chemistry, Physics, Materials Science or closely related subject. The candidate should be highly motivated, curious, have competent English
-
environment that spans physical sciences, engineering, biological sciences and global health. The candidate will require excellent, transferable skills including the ability to work with academic, industrial
-
for an individual interested in working creatively across a range of projects and experts to promote the development and use of AI in Chemistry. The position will be based in the School of Physical Sciences
-
An opportunity to lead work on materials design and discovery for an exceptional researcher with experience in developing and applying computational chemistry tools to materials science. This
-
An opportunity to lead work on materials design and discovery for an exceptional researcher with experience in developing and applying Artificial Intelligence and Machine Learning tools to materials
-
, communication and interpersonal skills, interested in working creatively across a range of projects and experts to promote the development and use of AI in Chemistry. The position will be based in the School
-
A Project Manager position is available immediately in the Department of Chemistry of the School of Physical Sciences at the University of Liverpool, as part of the research groups led by Professor
-
aim of the project. You will have a PhD in Physics, Chemistry or Materials Science. This post is available until 30 November 2026. Any applicants who are still awaiting their PhD to be awarded should be
-
machine learning for functional materials design. You should have a PhD in Computer Science, Chemistry, Physics, Materials Science, or a related discipline, with a commitment to developing collaborative
-
functional materials families and use the full range of modern digital tools to accelerate their experimental work. An example of aligning these tools to discover new experimental structures is demonstrated in