Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Birmingham
- Imperial College London
- Nature Careers
- University of Nottingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- King's College London
- Queen's University Belfast
- UNIVERSITY OF SURREY
- University of Glasgow
- University of Surrey
- Durham University
- KINGS COLLEGE LONDON
- Nottingham Trent University
- Queen's University Belfast;
- The University of Southampton
- UCL;
- UNIVERSITY OF SOUTHAMPTON
- University of Cambridge
- University of Leeds
- University of Leeds;
- University of London
- University of Southampton;
- University of Stirling
- University of Surrey;
- 15 more »
- « less
-
Field
-
and show strong quantitative skills, proficiency in coding (e.g. Python or MATLAB), and experience handling large datasets. Knowledge in at least one of the following is essential: ocean interior
-
experience and explains how and why this makes you right for the role (1 page max.). The covering letter should include confirmation of your right to live and work in the UK*. If providing a share code, please
-
stakeholders (beyond academia). Experience in membrane handling, CAD and temperature/humidity control is desirable while the ability to code in Python or other related programming languages will constitute a
-
. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
-
in phonon calculations Experience of the VASP Code Experience of kinetic Monte Carlo Experience of Grain Boundary Modelling Experience of working with High-Performance Computing platforms Experience
-
HiPerBreedSim project. In this role, you will leverage recent advances in working with ancestral recombination graphs (ARGs) to develop algorithms and code for simulating population genomic data, including
-
-intensive field Proficiency in Python (or R), version control, and clean code practices Experience with omics data analysis and integration Hands-on expertise in developing and fitting executable models
-
. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
-
. Practical knowledge of bioinformatics. Skills Essential: C1. Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources, and practices
-
code are encouraged as part of the application). Experience working with Unix-based operating systems, and tools for reproducible research (e.g. GitHub, Rmarkdown). Good communication skills and ability