Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oxford
- ;
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of London
- KINGS COLLEGE LONDON
- Durham University
- University of Oxford;
- AALTO UNIVERSITY
- Aston University
- DURHAM UNIVERSITY
- Heriot Watt University
- King's College London
- Oxford Brookes University
- University of Liverpool
- ; Royal Holloway, University of London
- City University London
- Nottingham Trent University
- University of Cambridge;
- University of Essex;
- University of Manchester
- University of Newcastle
- 12 more »
- « less
-
Field
-
, and market and protocol design. The postholder should hold a relevant PhD/DPhil or be near completion in one of the following: Economics, Finance, Operations Research, Statistics, Econometrics
-
base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
-
design, power calculations, and statistical methods, with scientific rigour in planning and interpreting experiments. Skilled in scientific writing, data presentation, and teamwork; maintains accurate
-
University of Cambridge, Department of Pure Mathematics and Mathematical Statistics Position ID: CambUK -RESEARCHASSOCIATE [#26302] Position Title: Position Type: Postdoctoral Position Location
-
challenging analyses, overcoming statistical problems, producing high-quality visualisations and outputs, and delivering reproducible analysis scripts. You also need a strong track record of delivering high
-
with experimental collaboration to uncover complex biological mechanisms. Our interdisciplinary work draws on statistical physics, applied mathematics, and close ties with experimental labs. Current
-
computer programs to design experimental paradigms, analyse data and conduct advanced statistical analysis. Prior experience in running neuromodulation studies including TMS and TUS is essential. You will be
-
Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
-
analysis) and tumour cell injection (Desirable) Experience of using bioinformatics software and methodologies to analyze multi-omic and therapeutic datasets (e.g. R statistical environment) (Desirable
-
Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
Experience in uncertainty quantification or statistics applied to quantum chemistry and machine learning would be advantageous For more details, please take a look at the role profile. We'll still consider