Bioimage Analyste — Universität Zürich
CHF 73 500 - 111 500
Universität Zürich · Zürich (ZH)
- Lieu
- Zürich
- Contrat
- full-time
- Publié
- il y a 24 jours
SalaireCHF 73 500 - 111 500
Vue d’ensemble du poste
The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields.
With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education.
Put your talent and skills to work with us.
- The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields.
- With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education.
- Our employees benefit from a wide range of attractive offers.
- Find out more: https://www.uzh.ch/de/explore/work.html.
Ce que l’entreprise offre
- Our employees benefit from a wide range of attractive offers.
- Find out more: https://www.uzh.ch/de/explore/work.html.
Processus de candidature
- validate the pipeline on biological applications, in close collaboration with UZH researchers
- produce high-quality documentation, tutorials, and training materials to ensure the uptake of these tools by the UZH research community
- contribute to the scientific dissemination of the work through publications, presentations, and community engagement within the Fractal and OME-Zarr ecosystems Anforderungen:
- We are looking for a motivated scientist with strong computational skills and a genuine interest in bridging advanced image analysis and biology.
- Furthermore, you should bring the following qualifications:
- a master's degree or PhD in computational biology, bioinformatics, computer science, biomedical engineering, physics, or a related field
- strong programming skills in Python, including experience with scientific libraries for image analysis (e.g. scikit-image, numpy, dask) and familiarity with version control (Git)
- experience with bioimage analysis, ideally including AI-based segmentation methods
Détails supplémentaires
- Find out more about UZH as an employer! The successful candidate will:
- contribute to the scientific dissemination of the work through publications, presentations, and community engagement within the Fractal and OME-Zarr ecosystems
Notes et contenu original
- Find out more about UZH as an employer!
- The successful candidate will:
- Anforderungen:
- Wir bieten:
