Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- UNIVERSITY OF VIENNA
- AALTO UNIVERSITY
- CZECH UNIVERSITY OF LIFE SCIENCES
- King's College London
- The University of Edinburgh;
- University of Cambridge;
- University of Liverpool
- University of Oxford;
- ; University of Copenhagen
- Ellison Institute of Technology, Oxford Limited
- King's College London;
- Nature Careers
- Oxford Brookes University
- University of Cambridge
- University of Dundee;
- University of Exeter;
- University of Liverpool;
- University of Newcastle
- University of Reading
- University of Sheffield
- 13 more »
- « less
-
Field
-
cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
-
, computer science, statistics, or a 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
-
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 and/or climate
-
Requirements: A completed doctoral degree in chemistry, bio technology or a related field. Strong programming skills in Python, R, or similar languages. A track record of research competence and initiative
-
techniques Proficiency in statistical software (e.g., SPSS, R, or similar) Strong communication, teamwork, and flexibility. As one of the largest employers in Oxford we pride ourselves in the great experience
-
English. Programming skills (e.g. Python, R). Ability to work in teams and high social/communicative skills. Strong interest in planning, carrying out, and presenting independant research. High commitment
-
design, statistical sampling and analysis of large, multi-taxa biodiversity datasets. Expertise in landscape-level biodiversity and production analyses using R, QGIS, Google Earth Engine. Extensive
-
of University Professor Sarah R Davies, which focuses on Technosciences, Materiality, and Digital Cultures and which studies the digital as material practice in contexts in which technoscience is created
-
statistical software (e.g., SPSS, R, or similar) • Strong communication, teamwork, and flexibility Benefits As one of the largest employers in Oxford we pride ourselves in the great experience we offer
-
cleaning Inferential statistical techniques Proficiency in statistical software (e.g., SPSS, R, or similar) Strong communication, teamwork, and flexibility Benefits As one of the largest employers in Oxford