-
Qualifications 1. A PhD in Physical Geography, Ecology, Remote Sensing, or a related discipline (preferably within three years of completing the PhD). 2. Knowledge of the key processes governing
-
research fellows. The research fellow needs to integrate this perspective into study design, creation of research methodologies, data collection, processing and analysis of data as well as the writing
-
background: PhD in a management or economics field (e.g. sustainability, strategy, accounting, sustainable finance etc.) or related field with a clear focus on sustainability, ideally with a clear focus on
-
to strategy development for the initiative that guarantees its long-term success Ideal profile Academic background: PhD in management, sociology, political science, economics, sustainable finance or a related
-
to the selection process. Applicants may be asked to give a teaching demonstration and present their research vision during the interview process. Further information For further information about the position
-
spatial and remote sensing data for surveillance for zoonotic and vector-borne diseases across Southeast Asia. This position offers the opportunity to work on ground-breaking research projects in the broad
-
Remote Job Function Non-CMU Students Position Type Staff – Fixed Term (Fixed Term) Full Time/Part time Part time Pay Basis Hourly More Information: Please visit “Why Carnegie Mellon ” to learn more about
-
the integration of environmental science, remote sensing, artificial intelligence, systems modelling and data science. Through initiatives such as the Landscape Observatory, the Centre develops innovative solutions