19 post-doc-image-processing Postdoctoral research jobs at DURHAM UNIVERSITY in United Kingdom
Sort by
Refine Your Search
-
this date, in both directions). The position is funded by NERC grant 'High Resolution Radar Imaging of Pyroclastic Density Currents', in collaboration with University College London, and the University
-
candidate genes and regulatory elements underlying differences in organ size among species. This post is fixed term for 10 months due to the funding being available from 01/10/25 for this fixed period only
-
verification further advancing security and authenticity. In 2020 our pioneering solid-state CPL spectrometer (Nat. Commun., 2020, 11, 1676) triggered a paradigm shift in CPL spectroscopy that has been hindered
-
to form ultracold CsYb molecules in optical lattices. The project is a collaboration with researchers in Paris and Warsaw. The post holder will work directly with Prof. Simon Cornish (Physics) and Prof
-
of every life process as the product of aerobic respiration and post-mortem decay. As such, it is not a surprise that this gas regulates such diverse processes as cellular chemical reactions, transport
-
behaviour of so-called yield stress fluids, which keep their shape like solids at low loads, yet flow like a liquid at larger loads. One possible focus could be on the dynamical process whereby a material in
-
ultracold molecules. The post holder is therefore expected to have experience and familiarity with the techniques used in the study of ultracold gases, including the operation of magneto-optical traps
-
behaviour of so-called yield stress fluids, which keep their shape like solids at low loads, yet flow like a liquid at larger loads. One possible focus could be on the dynamical process whereby a material in
-
colleagues will be invited to post a brief description of any such positions and their contact details here at any point between now and the deadline as any opportunities emerge:). Applications should be
-
). The position is funded by NSF-EPSRC grant 'Stochastic Shape Processes and Inference', in collaboration with the University of Nottingham, Ohio State University, and Florida State University. The successful