Sort by
Refine Your Search
-
Listed
-
Employer
- University of Birmingham
- ;
- Nature Careers
- University of Nottingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SURREY
- Queen's University Belfast;
- UNIVERSITY OF MELBOURNE
- Queen's University Belfast
- UNIVERSITY OF SOUTHAMPTON
- University of Glasgow
- KINGS COLLEGE LONDON
- University of London
- Aston University
- Aston University;
- Birmingham City University
- CRANFIELD UNIVERSITY
- City University London
- Imperial College London
- King's College London
- London School of Hygiene & Tropical Medicine;
- The University of Southampton
- UCL
- UNIVERSITY OF GREENWICH
- University of Bristol
- University of Cambridge
- University of Glasgow;
- University of Greenwich
- University of Leicester
- University of Stirling
- 20 more »
- « less
-
Field
-
Applications are invited for the post of Principal Research Fellow within the Centre for Environmental Policy at Imperial College London. You will lead the development of a high-level analytic and
-
control. You will have interests in how integrated schistosomiasis control measures can be built into water management development. You will have strong analytical skills and desirably some computer
-
-economic assessment and life cycle analysis methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data
-
play a crucial role in advancing human biomonitoring of plastic-associated chemicals. You'll have the opportunity to develop innovative analytical techniques for detecting compounds in blood and urine
-
play a crucial role in advancing human biomonitoring of plastic-associated chemicals. You'll have the opportunity to develop innovative analytical techniques for detecting compounds in blood and urine
-
, Colloidal Science, Surface Engineering or equivalent qualifications High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and
-
-related activities and research-related administration Person Specification PhD degree in Physics and/or Astrophysics, and experience with interpretation of astronomical data High level analytical
-
of using and developing Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information
-
inversion of gravity gradient data, contribute to the development of data interfaces for multi-modal sensor integration, and perform advanced data processing and inference to support subsurface imaging and
-
UKESM1 or similar models, advanced data analysis and machine learning, would be advantageous. Grade E: You will be near completion of a relevant PhD or have equivalent research experience, and be able