Sort by
Refine Your Search
-
Listed
-
Employer
- Durham University
- KINGS COLLEGE LONDON
- University of Oxford
- ;
- King's College London
- UNIVERSITY OF VIENNA
- Heriot Watt University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Birmingham
- University of London
- ; University of Cambridge
- Imperial College London
- Nottingham Trent University
- Technical University of Denmark
- University of Bath
- University of Cambridge
- University of Liverpool
- University of Nottingham
- 8 more »
- « less
-
Field
-
This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
-
28 Aug 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Kingdom
-
permeability selection in variant membrane chemistries. This work will run in parallel to experimental analysis conducted at the University of Exeter using synthetic vesicles to observe permeability
-
in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
-
into clinical applications (and vice versa). The School consists of eight research departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing
-
Expertise in stratospheric dynamics and/or chemistry Enthusiasm for coding of complex atmospheric models Create problem-solving skills and ability to work independently *Candidates with a PhD in other
-
development to work under the supervision of Dr Alistair Farley, Scientific Lead for Chemistry, with a dotted line to Professor Timothy Walsh. The position is based at the Ineos Oxford Institute, at the Life
-
near completion) in materials or chemistry and experience in battery research. You will have expertise in a range of synthesis techniques and advanced materials characterisation tools such as X-ray
-
of nitrides, along with Raman spectroscopy measurements. This programme of research will be conducted in collaboration with researchers from the University of Bayreuth (Germany), the Commissariat à l’Énergie
-
Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying