Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions and airflow, at unprecedented spatial resolutions. The project will be carried out
-
tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions and airflow, at unprecedented spatial resolutions. The project will be carried out
-
, consisting of a helium-filled aerodynamic kite tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions and airflow, at unprecedented spatial
-
an autonomous, mobile gas flux tower, consisting of a helium-filled aerodynamic kite tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions
-
project by: Collecting, analysing and critically interpretating data sets from multiple techniques to characterise granular zeolite ion-exchange materials. Designing and developing new in situ synchrotron
-
analysis software (e.g., STATA, R, SPSS) and experience working with health-related data will be advantageous. The ability to work independently, manage multiple tasks, and communicate findings clearly is
-
. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
-
engineering. For appointment at grade 8 some post doctorial experience in multiple areas as listed above, or at the interdisciplinary interface and / or some expertise in research coordination and running a
-
and show strong quantitative skills, proficiency in coding (e.g. Python or MATLAB), and experience handling large datasets. Knowledge in at least one of the following is essential: ocean interior
-
the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous