Sort by
Refine Your Search
-
Listed
-
Employer
- University of London
- AALTO UNIVERSITY
- Durham University
- Imperial College London
- King's College London
- UNIVERSITY OF VIENNA
- University of Dundee
- Heriot Watt University
- Lund University
- Queen Mary University of London
- The Rosalind Franklin Institute
- University of Glasgow
- University of Newcastle
- 3 more »
- « less
-
Field
-
collaborate closely with cell biologists and mitochondrial biologists across the network to evaluate compound uptake, target engagement, and activity in cellular models. This is a highly enabling platform
-
to characterise binary and ternary complex formation, including TR-FRET, AlphaLISA, SPR (Surface Plasmon Resonance), ITC (Isothermal Titration Calorimetry), and NanoBRET. Pursuing co-crystal structures of BromoTag
-
mechanisms. Elucidating Cellular Networks: Linking sensory phenotypes with the molecular and biological functions of GPCRs. Nurturing Young Talent: Supervising and training chemistry and food chemistry
-
methodology of complex multmethod and mixed methods research in educational settings. Your active participation inresearch, teaching and administration comprises: Mixed methods researchs Publications in English
-
for all full-time staff. Detailed Description Decarbonising heat is one of the most critical challenges in the transition to net zero. The Sustainable Open-loop Large-scale Interseasonal Thermochemical Heat
-
cell biology. The post holder will work on an MND Association-funded project to map the interaction network of Annexin A11 and elucidate its role in neurodegeneration. The research aims to uncover how
-
, you will interact widely with our collaborators – including as part of the Arthritis UK-funded ARCADIA network, to deliver this goal. The successful early career academic will have the opportunity
-
to communicate complex scientific ideas clearly and concisely. Work at the interface of experiment and computation, in a group that designs antibodies and nanobodies in silico and tests them in house, with
-
development of clinical risk prediction tools. You should be confident working with large and complex datasets, using statistical programming languages such as R, Python, Stata or SAS, and have a strong
-
isolate disease-specific regions and uncover localised niches of inflammation. Additionally, you will characterise complex ligand-receptor interactions, with a specific focus on dissecting the crosstalk