Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Birmingham
- University of Nottingham
- Nature Careers
- University of Bristol
- University of Sheffield
- KINGS COLLEGE LONDON
- CRANFIELD UNIVERSITY
- King's College London
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds
- University of London
- University of Surrey
- ; Maastricht University
- City University London
- Kingston University
- Oxford Brookes University
- Sheffield Hallam University
- UNIVERSITY OF SURREY
- University of Glasgow
- 14 more »
- « less
-
Field
-
research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding
-
research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding
-
in accordance with the project deliverables and project strategy. 2. Characterisation of completed models and software and the documentation of research output including analysis and interpretation
-
simulation with PSpice, LTspice, or equivalent is an advantage. Experience with developing software for instrument control and data acquisition using LabVIEW is helpful. Key Competencies Strong experimental
-
data Ability to mentor and develop bioinformaticians at all stages of the analysis project workflow Desirable criteria Excellent computational skills applied to HPC, big data, software development and
-
skills and experience: Essential criteria PhD qualified in relevant subject area Experience working with large datasets e.g. CPRD or similar Experience with relevant statistical software (STATA or R
-
machine learning, and for precision-aware scheduling in distributed systems. They will design, develop and refine a software prototype system for distributed serving of machine learning models that leverage
-
requirements and use resources effectively Learn and keep abreast of latest technological, methodological and software developments Understanding of, and ability to contribute to, broader management
-
the environmental impacts of proposed processes and compare them with conventional alternatives. • Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS, SimaPro, or equivalent
-
facilities for magnetoencephalography and hyperpolarised MR. The 7T scanner has recently undergone a major hardware and software upgrade and now forms a testbed for the development of the 11.7T system