70 systems-science-"https:"-"https:"-"https:"-"https:" positions at Cranfield University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
discipline. This project would suit someone with interests in ecology, environmental science, urban sustainability, geospatial analysis, or quantitative modelling. Experience in all areas is not required as
-
—from defence engagement, humanitarian operations, gender and conflict, and resilience to defence offsets and strategic planning. The programme is deeply relevant to professionals seeking to align
-
facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . IT Services is a University-wide Professional
-
technology and management globally. Learn more about Cranfield and our unique impact here . IT Services is a University-wide Professional Service Unit (PSU) with the remit to provide a full-service digital IT
-
This fully funded MSc by Research, with a stipend of £22,000 pa, is sponsored by Anglian Water. The research offers an exciting opportunity to develop knowledge on seawater desalination brine
-
range of future careers. Should there be interest, there is also the possibility of developing teaching and supervision skills on our MSc Astronautics and Space Engineering programme. At a glance
-
continuous professional development. You will be strongly motivated to use technology to improve organisation efficiency and innovation. This will be coupled with some hands-on experience of software
-
, microbiology, waste treatment, and engineering, the project seeks to strengthen system reliability and generate critical evidence to guide the advancement and deployment of future sanitation technologies. Key
-
. Whether working independently or supporting others, you are passionate about using technology to solve problems, streamline operations, and build capability across the organisation. About Us As a specialist
-
and kinematic models with machine-learning-based channel state information (CSI) prediction to enable robust, low-latency connectivity across multi-layer NTN systems. This PhD project sits