Sort by
Refine Your Search
-
Country
-
Employer
- University of Oxford
- University of Oxford;
- King's College London
- University of Liverpool
- Queen Mary University of London;
- Durham University
- University of Reading;
- DURHAM UNIVERSITY
- Lancaster University
- Liverpool School of Tropical Medicine;
- Plymouth University
- University of Cambridge;
- University of Leeds
- University of Liverpool;
- University of New England
- jobs.ac.uk
- 6 more »
- « less
-
Field
-
of further research funding. If appropriate, the role may involve acting as a formal co-supervisor for research students. The post holders will hold a relevant PhD/DPhil, or be near completion, in Statistics
-
Psychology or Psychology Expertise in qualitative interviewing and inferential statistics using SPSS or R Experience of working in UTI Research Excellent oral and written communication skills Strong time
-
although not be limited to Target Trial Emulation and Mendelian randomisation. You will be part of a growing and dynamic team which is involved in many aspects of data science, epidemiology, statistics
-
. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely related field) with significant post-qualification research experience. You will experience
-
quantitative proteomic data with a degree of statistical rigour using common freely available software packages; proficiency in handling large datasets including bioinformatics and biostatistics; and knowledge
-
internationally recognised research environment. It is essential that you hold, or be close to completing, a PhD/DPhil in computational biology, mathematics, statistics, bioinformatics, oncology or another related
-
, viability and biological function. The work will require rigorous experimental design, appropriate controls and benchmarks, statistical analysis, traceable data and predefined acceptance criteria. The role
-
background in high resolution imaging and analysis High proficiency in statistical analysis Personal Home Office Licence holder (PIL, mouse) Desirable criteria Proficiency in using advanced imaging techniques
-
established and emerging bioinformatics, statistical modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics
-
development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely