187 phd-position-data-mining Postdoctoral research jobs at University of Oxford in Uk
-
for differential rate correction). The successful applicant will hold, or be close to completion of, a relevant PhD/DPhil in bioinformatics, comparative genomics and phylogenetics, together with relevant experience
-
have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
-
We are looking for an excellent post-doctoral candidate with a PhD / DPhil (or near completion) in quantum optics, solid state quantum physics, magnetic resonance or related areas. The successful
-
the lead of Prof Daniela Ferreira conducts research using controlled human challenge models to better understand mucosal immunity to respiratory pathogens and inform vaccine development. This position is
-
Aldridge research and group here About you Applicants must hold a PhD in synthetic inorganic chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment
-
close to the completion of, a relevant PhD/DPhil together with relevant experience, and have relevant experience of chemical and petrological analysis of igneous rock samples. You will possess sufficient
-
close to completion of a relevant PhD. You will manage your own academic research, effectively coordinating multiple strands of work. Direct experience in molecular genetics and/or plant-microbe interactions
-
knowledge and tools for non-equilibrium flows for hypersonic vehicles. The research will provide unique and high-quality experimental data for expanding high temperature flows. Alongside this, the proposal
-
/or growing interest in extreme events, climate change, attribution/causality analysis, epidemiology, public health, ECD, and data science. The Research Associate will be proficient in programming
-
- the English Case Study investigating SSVS pilot project courts. This includes data collection, including court observation and participants interviews, coding and analysis of data, the development of project