-
responsible for data/image acquisition, analysis and interpretation and for using this information to design efficient heterogeneous photocatalytic processes. This will involve working on the synthesis and
-
of sterile and infected single and co-cultures of immune and stromal cells, and correlative data analysis including surface characterisation of biomaterials. Candidates must have a PhD submitted (or close
-
institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
-
Applications are invited to join the Manufacturing Metrology Team (MMT) and the Quantum Information & Metrology Research Theme (QI&M) at the University of Nottingham to carry out research focused
-
of technologies/products. • Proven hands-on experimental skills of developing hardware. • Practical experience with optical fibres. • Proficiency in writing instrument control and data analysis software
-
information about our work is available at https://www.nottingham.ac.uk/research/groups/low-carbon-energy-and-resources-technologies-research-group/research/microwave-processing/microwave-processing.aspx
-
forms and its development. Based at the University of Nottingham, you will be one of three Post-Doctoral Researchers working on the project. This part-time role will involve data collection including
-
completion of, a Ph.D. in astrophysics or a closely related subject area, and have a research track record in astrophysics and experience processing astronomy data (simulation or observational). As part of our
-
available immediately and will be offered on a fixed-term contract until 30 September 2025, with the possibility of a further extension. For more information on our lab activities, please visit: https
-
of the project, working in an autonomous and highly organised manner, and will have excellent data management and analysis skills. In addition, you will be skilled at working effectively within multi