Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- King's College London
- KINGS COLLEGE LONDON
- ;
- Heriot Watt University
- Queen Mary University of London;
- University of London
- University of Oxford;
- University of Birmingham
- University of Leicester
- University of Liverpool
- University of Reading
- University of Reading;
- AALTO UNIVERSITY
- Aarhus University
- Durham University
- Edge Hill University;
- Lund University
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Glasgow
- University of Liverpool;
- 12 more »
- « less
-
Field
-
‑on experience in single‑molecule microscopy, skills in optics or photonics, and proven ability in developing software for imaging analysis, particularly using Python. Your ability to work independently while
-
will lead the programming of R/Python packages for the analysis as well as adapt existing and develop new research methodologies and training materials. You will report research findings in the form
-
scientific results clearly within a multidisciplinary research team. Experience working at containment level 2/3, with hard X-ray nanoprobe technology, or with data analysis tools such as R, Python, FIJI
-
systems, ideally including mobile manipulators. You will be proficient in software development (Java, Python, C++), with object-oriented programming and software engineering practices. You will have hands
-
, particularly in Python and deep learning frameworks such as PyTorch or TensorFlow, with proficiency in managing complex model training pipelines. Strong analytical and problem-solving skills, with the ability
-
experience with python programming for molecular simulation and cheminformatics. 5. Experience with version‑controlled GitHub repositories and Unix/Linux‑based high‑performance computing environments. 6
-
modelling; strong programming and research engineering ability (Python with modern ML tooling such as PyTorch/JAX) and good software practices; familiarity with interactive/agentic settings (e.g., tool-using
-
record (or clear potential) in transcriptomics, ideally with experience in sc/snRNA-seq and/or spatial methods, and confidence in data analysis using relevant tools (e.g., R/Python-based workflows
-
work within the project, including experience of computer programming (e.g. FORTRAN, C++), and wider computing skills (e.g. R, Python or similar). What we can offer you Freedom (and the support) to
-
Experience working with online assessment technology Advanced statistical analysis and modelling skills Programming skills, particularly MATLAB and/or Python Experience with analysis of brain imaging and blood