75 algorithm-development-"St"-"St" Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON
Sort by
Refine Your Search
-
immunogens, the postholder will develop and apply advanced glycomics and glycoproteomics methodologies to generate high-quality datasets that inform next-generation vaccine design. They will provide
-
into the real world. A strong background in the fibre optics, advanced characterization techniques, and optical signal processing is highly desirable, along with an aptitude for developing new experimental
-
-funded project. The primary objective of this project is to develop novel optical fibres and fibre materials suitable for power scaling of fibre lasers in the two-micron wavelength region. The project will
-
Computational Chemistry to develop accurate models of time-resolved X-ray photoelectron spectroscopy (TRXPS) experiments of gas phase molecules. The successful candidate will be based in Southampton and work in
-
to reconstruct the unique features of the delocalized quantum state; 2) To optically trap and manipulate (cool, squeeze) nanoparticles, to enable sufficient time for the wavefunction evolution into a
-
at the University of Southampton. Focusing on HIV-1 Env and related immunogens, the postholder will develop and apply advanced glycomics and glycoproteomics methodologies to generate high-quality datasets that inform
-
of Aberdeen - https://www.cs.ox.ac.uk/projects/AIHub/ . The programme offers an excellent opportunity for the successful candidate to develop their career in this exciting area in collaboration with some of the
-
. This is for a two-year contract until 30/09/2027 to develop and carry out field trials; survey remote sites; install instruments, data loggers and transmission systems; and analyse and interpret data. We
-
child health. The position is based at the MRC Lifecourse Epidemiology Centre, and part of an NIHR-funded programme of research which aims to inform how people can be better supported to plan and prepare
-
high-quality laboratory research to develop and test novel diagnostic methods for heavy menstrual bleeding. They will work closely with clinicians, research nurses, and study participants to integrate