Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- ; University of Birmingham
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Newcastle University
- ; Swansea University
- ; University of Bristol
- ; University of Surrey
- Harper Adams University
- ; University of East Anglia
- ; University of Sheffield
- ; University of Southampton
- University of Manchester
- University of Newcastle
- University of Nottingham
- ; Cranfield University
- ; Loughborough University
- ; Manchester Metropolitan University
- ; UCL
- ; University of Greenwich
- ; University of Nottingham
- ; University of Reading
- ; University of Stirling
- ; University of Strathclyde
- ; University of Warwick
- Heriot Watt University
- Imperial College London
- THE HONG KONG POLYTECHNIC UNIVERSITY
- 20 more »
- « less
-
Field
-
This PhD project aims to advance Safe and Sustainable by Design (SSbD) pharmaceutical manufacturing by integrating cutting-edge methodologies, including computer-assisted retrosynthesis, end-to-end
-
members of staff. Research in the Department is organised into six themes : Causality; Computational Statistics and Machine Learning; Economics, Finance and Business; Environmental Statistics; Probability
-
, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
-
, reliability, and environmental resilience. The proliferation of intelligent systems has led to increased energy consumption, raising concerns about sustainability and operational costs. Energy-efficient
-
co-supervised by both academic and industry experts, gaining valuable skills at the interface of hydrogeology, environmental engineering, and computational modeling. Research Objectives Understanding
-
of environmental economics and innovation. The successful candidate will play an integral role in supporting data-driven, policy-relevant research examining the intersection of environmental challenges and
-
problems in health data science. Air pollution is composed of several different environmental pollutants, for example particulate matter (PM10 and PM2.5), ozone (O3), nitrogen dioxide (NO2) and sulphur
-
, such as environmental, ecological or civil engineering, environmental science, hydrology, ecology, water resources management, and geography. A full-UK driving license is essential. The ideal candidate
-
expertise in trace gas measurements, VOC chemistry, and aircraft-based observational science. The ideal candidate will hold a strong background in either atmospheric science, environmental science, chemistry
-
immobilisation, or even the chemical-physical environments thought to underpin the origin of life. This project offers a unique opportunity to work at the interface of experimental physics, data science, and