Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- King's College London
- Durham University
- Heriot Watt University
- UNIVERSITY OF VIENNA
- AALTO UNIVERSITY
- Imperial College London
- University of Cambridge
- Nature Careers
- University of Oxford;
- Birmingham City University
- Heriot-Watt University;
- Imperial College London;
- King's College London;
- Liverpool School of Tropical Medicine;
- Northumbria University;
- Oxford Brookes University;
- Technical University of Denmark
- University of Cambridge;
- University of Exeter
- University of Exeter;
- University of Manchester
- University of Nottingham
- University of Nottingham;
- University of West London
- 17 more »
- « less
-
Field
-
be about to obtain) a PhD in chemical biology. They will be highly motivated and able to work independently. Excellent organisational and interpersonal skills are required to ensure success in liaising
-
take responsibility for the planning, execution and analysis of high-quality research, ensuring the validity and reliability of data at all times and will maintain ongoing scientific discussion with
-
team together with three PhD students to create a mutually supportive research environment. Candidates must be enthusiastic about building and working in a large interdisciplinary team. These positions
-
a relevant subject (epidemiology, biostatistics or big data) and have experience of working with Swedish population registers on epidemiological studies. You will possess sufficient specialist
-
for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD degree in Engineering, Computer
-
connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
-
attached to the project. The successful applicant must hold a PhD/DPhil in a relevant subject. They must have peer-reviewed publications using data science approaches, for example, genetic analysis
-
tools are need during the development of new imaging and sensing systems. With the rapid deployment of data-driven methods, repliable uncertainty quantification remains a big challenge that requires
-
special emphasis on a relaxed and cooperative working environment. Social interactions help facilitate active scientific exchange and foster a good atmosphere, and therefore play a big role in our team
-
generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group at Aalto University