21 assistant-professor-computer-science-and-data-"Meta" Postdoctoral positions at University of Liverpool
Sort by
Refine Your Search
-
computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
-
Applications are invited for a Postdoctoral Research Associate position in physical, inorganic and materials chemistry. You will work in the research group of Professor Dmitry Shchukin, Stephenson
-
We are seeking to appoint an excellent Postdoctoral Researcher to carry out research in the areas of smart sustainable polymers and polymer nanocomposites in the research group of Professor Biqiong
-
This role is an exciting opportunity to work on the interplay between biology and physics on ocean carbon sequestration by the Biological Carbon Pump. You will run an ocean biogeochemical model
-
. ¿ Study design, protocol development and laboratory diet planning. ¿ Leading on participant recruitment, data collection and analysis. ¿ Supervising a graduate level research assistant
-
The Department of Electrical Engineering and Electronics is offering an exciting opportunity to work with Sony Computer Entertainment Europe Ltd (UK) to develop next generation gaming environments
-
Are you enthusiastic about exploring the fascinating interplay between biology and mechanics? We are seeking to appoint a highly motivated and skilled Postdoctoral Researcher to develop methods
-
of Manchester. You will be based primarily in Professor Bates' Lab (the Evolutionary Morphology & Biomechanics Group) in the Institute of Life Course & Medical Science at the University of Liverpool, but with
-
datasets and demonstrate familiarity with statistics software packages, such as Stata and Python. Knowledge about computer text analysis is also desirable. Excellent written communication skills are required
-
interventions around tackling food insecurity on long-term trends of health outcomes for Liverpool and England. You will be based alongside Professor Mark Green in the Geographic Data Science Lab within