54 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at The University of Manchester
Sort by
Refine Your Search
-
knowledge for sustainable formulation design. Using different data-driven feature representations, AI foundation models will generate chemical embeddings to predict key physicochemical properties. Coupled
-
reusable plaque–flow atlas. Key objectives include to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric
-
supervised by Dr Ed Pickering and Prof Tim Burnett. Please contact ed.pickering@manchester.ac.uk if you wish to apply. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s
-
to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric archetypes (e.g. curved vessels, bifurcations, side branches
-
, ion beam transport and detection, laser spectroscopy for atomic and nuclear physics, high voltage systems, and data analysis. The minimum academic entry requirement for a PhD in the Faculty of Science
-
, cutting-edge research facilities, and real-world datasets. The successful candidate will work under the supervision of Dr. Steph Flores (steph.flores@manchester.ac.uk ) at the Department of Chemical
-
facilities, and real-world datasets. The successful candidate will work under the supervision of Dr. Steph Flores (steph.flores@manchester.ac.uk ) and co-supervised with Dr. Carlos Avendaño (carlos.avendano
-
waste)? How much of an improvement to air quality could be achieved by improving user behaviour? The student will use this data along with DEFRA commissioned surveys, together with laboratory data and
-
, and for further details, please contact the main supervisor; Dr Mengqi Bai - mengqi.bai@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant
-
Engineering, Physics or related discipline. To apply, please contact the main supervisor, Dr Dumanli-Parry - ahugumrah.parry@manchester.ac.uk . Please include details of your current level of study, academic