Universität Zürich · Education
Research Assistant in Experimental and Computational Biology
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- Contribute to experimental work and microscopy-based measurements of 3D structures using spinning disc confocal and light sheet microscopy for fixed multiplexed and live-imaging datasets.
- Analyse multiplexed measurements and integrate imaging-derived features to investigate cellular behaviour.
- Process light-sheet microscopy data and apply workflows for tracking cells in live-imaging datasets.
- Apply computational methods, including machine learning where appropriate, to identify patterns and extract biological insights.
- Perform data quality control, statistical analysis and visualisation.
- Work closely with experimental and computational researchers and document experiments, code, methods and results.
- MSc degree in cell biology, developmental biology, engineering or a related discipline, with a combination of experimental and computational experience.
- Python coding experience and the ability to develop and adapt scripts for scientific data analysis.
- Knowledge of microscopy and image analysis, with the ability to connect experimental measurements to quantitative biological questions.
- Experience with quantitative data analysis and an interest in reproducible computational workflows.
- Experience working with embryos is an advantage. Familiarity with light-sheet microscopy, cell tracking, multiplexed measurements or large volumetric datasets is also welcome.
- Strong communication skills, fluency in English, and the ability to work independently and collaborate across disciplines.