Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- King's College London
- UNIVERSITY OF VIENNA
- Durham University
- Heriot Watt University
- University of Oxford;
- AALTO UNIVERSITY
- Imperial College London
- University of Cambridge
- DURHAM UNIVERSITY
- King's College London;
- Nature Careers
- Aarhus University
- Birmingham City University
- Heriot-Watt University;
- Imperial College London;
- Liverpool School of Tropical Medicine;
- Northumbria University;
- Oxford Brookes University;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Technical University of Denmark
- The University of Edinburgh;
- University of Bath
- University of Cambridge;
- University of Exeter
- University of Exeter;
- University of Manchester
- University of Nottingham
- University of Nottingham;
- University of West London
- 22 more »
- « less
-
Field
-
be finalised by July 2026. Supported Areas for START Infocomm Technology Information Security: Mobile security, cyber-physical systems, IoT security, security analytics, operational cybersecurity
-
considered. The successful candidate must have experience in the following areas: molecular cell biology, plant phenotyping, and image/data analysis, as well as working as part of a large team. A track record
-
at command line and BASH scripting Experience working with large scale, complex datasets and data wrangling skills Strong publication record and familiarity with the existing literature and research in
-
approaches which range from local micro-histories to large-scale quantitative analysis. We particularly value conversation between scholars of different periods and places, with different approaches. We also
-
for the study of the history of the world. We are an intellectual home for scholars of every region of the world, who use approaches which range from local micro-histories to large-scale quantitative
-
colleagues. We put special emphasis on a flexible and cooperative working environment. Social interactions help facilitate active scientific exchange and foster a good atmosphere, and therefore play a big role
-
for the study of the history of the world. We are an intellectual home for scholars of every region of the world, who use approaches which range from local micro-histories to large-scale quantitative
-
at command line and BASH scripting Experience working with large scale, complex datasets and data wrangling skills Strong publication record and familiarity with the existing literature and research in
-
related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You
-
to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models