33 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" PhD positions at The University of Manchester in United Kingdom
Sort by
Refine Your Search
-
-driven AI models that capture the underlying process–structure–property relationships governing metal additive manufacturing. By combining mechanistic modelling, in-situ sensing, and machine learning
-
-based materials used in applications ranging from plumbing to transport. They are also nature's preferred way of providing structural scaffolding within cells (the cytoskeleton), and within tissues
-
organic linkers. They have a formidable ability to adsorb, retain and neutralise air pollutants (NO2 , NH3 or SO2). To exploit these properties, one need to design MOFs that remain structurally intact after
-
. Understanding and predicting this fragmentation process is critical to protecting structures and people from the damage it can cause. This has applications including defence and space. This project will involve
-
may be removed before the deadline. Advanced aluminium alloys have a key role in the aerospace and automotive industries for structural components. However, the increasing global demand for aluminium
-
This project aims to perform laser spectroscopy studies on proton-rich nuclei, in order to investigate the evolution of nuclear structure of these exotic species. At the edges of the nuclear
-
and characterisation techniques with state-of-the-art facilities (NMR, X-ray, possibly EPR, HRMS, IR, UV/Vis etc.), structural elucidation, and mechanistic studies. We are looking for an enthusiastic
-
-wzn23), this project will combine advanced synthetic strategies with reactivity studies, detailed physical characterization and computational studies to elucidate electronic structures. Together
-
measurements of nuclear parameters via the hyperfine structure and isotope shift. The project is based at facilities where The University of Manchester and our national and international collaborators, from
-
to structural design models to quantify the potential impact on key drivers of offshore wind farm economics. Specifically the impact of advanced wake models on wind farm energy yield forecasts, hence revenue, and