Sort by
Refine Your Search
-
. You will develop and apply state-of-the-art deep learning methods for land cover classification and change detection using multi-source aerial and satellite imagery. Working within an interdisciplinary
-
Researcher (R1) Application Deadline 11 Sep 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
-
) First Stage Researcher (R1) Application Deadline 11 Sep 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme
-
Researcher (R1) Application Deadline 11 Sep 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
-
industrial partners, externally funded research programmes, and publication in high-quality peer-reviewed journals would be advantageous. About Us As a specialist postgraduate university, Cranfield’s world
-
for teamwork will be ideal. About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in
-
of mycorrhizal fungi with plant P and water status, the development of the root system and the broader community of soil microbes. With partners at Cambridge University and in Germany and the US, we will work from
-
academic journal (pending publications can also be considered). About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry
-
considered). About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management
-
responsibility is to conduct cutting-edge research on a new class of biochemical sensor development for wastewater, especially on the single-cell and single molecule detection, utilising state-of-the-art