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Open nowPosted 7 days ago

Research Assistant in Experimental and Computational Biology 55 %

job-room.ch86,007 open roles

Where
Zürich, ZH, Switzerland
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Your applicationOpen nowResearch Assistant in Experimental and Computational Biology 55 %job-room.ch · Zürich, ZH, Switzerland

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  2. 3.4%3 days
  3. 7.9%7 days
  4. 14.2%14 days
  5. 34.1%30 days
This job: posted 7 days ago

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

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