Sort by
Refine Your Search
-
at the Department of Biochemistry. You will be working on a project that will study the functional importance and prevalence of filamentation among transcription factors at the structural level. The project has a
-
in Mass Spectrometry and Structural Glycobiology to work under the supervision of Prof. Weston Struwe for a period of 24 months. The project, funded by the UKRI, centres on developing advanced methods
-
remains poorly understood. It is also unclear how the conformational landscape of dynein-2 is affected by diseases mutations. This project involves using a multi-scale structural biology approach, involving
-
/DPhil or be near completion of a PhD/DPhil in a subject relative to Structural Biology, Biochemistry, or Biophysics. You should be driven, have experience in protein production, the analysis
-
generate key structural and biophysical data to support the design of small molecule inhibitors with particular focus on protein production and crystallisation, solving protein-ligand structures, fragment
-
research projects require a creative, multidisciplinary approach, and as such provide opportunities across parasitology, structural biology, biochemistry and cell biology including single molecule
-
and structural biology of rhomboid-like membrane proteins. You should hold a PhD/DPhil in a topic relevant to structural biology and biochemistry, together with relevant experience. You should be able
-
that control the response to low oxygen conditions in Marchantia polymorpha. They will contribute both to the practical work with plants but also some bioinformatics work on protein structure and function
-
developing formalisms for their interpretation (GMC structure, dynamical state, lifetime, formation, evolution), and/or ii) weighing the supermassive black holes lurking at galaxy centres using molecular gas
-
learning approaches. You will develop novel, reproducible methods for analysing both structured and unstructured clinical data, generating insights into disease trajectories, predicting clinical outcomes