Research Assistant in Experimental and Computational Biology 55 %
Universität Zürich · Zürich, Zürich, Switzerland
Skills in this posting
The posting
### 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. Find out more about UZH as an employer! ###
Your responsibilities
* 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.
Your profile
* 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.
Dr. Shayan Shamipour
SNF Ambizione Fellow
\+41782442377
Dr. Shayan Shamipour
The PivotHop read
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