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The research group for Trace Element and Micro Analysis of Prof. D. Günther in the Laboratory of Inorganic Chemistry (Department of Chemistry and Applied Biosciences, ETH Zurich) is seeking a postdoctoral fellow for a two-year position in element analysis using inductively coupled plasma mass spectrometry (ICP-MS) to quantify the element composition of biological cells.
Single cell analysis by ICP-MS has gained substantial interest over the past decade. The development of new time-of-flight mass spectrometers has enabled comprehensive analysis of the short transient signals produced by elements within individual cells. This method is now widely used in bio-analytical applications and cancer research to investigate endogenous metal contents of cells or isotope-labelled antibody tags to decipher cell status. However, current approaches lack an unbiased introduction of cell populations with a wide range of sizes. Larger, heavier cells tend to be under-represented in detection systems due to the horizontal arrangement of common sample introduction methods.
We have developed a novel ICP-TOFMS configuration that avoids cell discrimination based on size and/or mass to overcome this limitation. This concept will be further improved and coupled with a state-of-the-art sample introduction system to enhance overall efficiency and sample or cell throughput.
This two-year project will focus on developing an online cell sorting sample introduction system for quantitative element analysis of single cells using ICP-MS. The main goal is to develop and characterize a novel approach combining online cell sorting at high throughput with a unique downwards pointing inductively coupled time-of-flight plasma mass spectrometer.
The researcher will have access to state-of-the-art ICP and unique ICP-TOF mass spectrometers. Collaboration with colleagues from different departments at ETH will provide access to cell cultures and cultivation facilities to prepare proof-of-concept samples for testing instrument development progress.
The candidate should have a PhD in Chemistry or related interdisciplinary fields. Strong knowledge of general analytical chemical concepts, mass spectrometry, and microfluidics are major assets for the position. Additionally, experience in instrument development, computer programming skills in Python, and interest in data clustering and machine learning would be advantageous. Basic teaching experience in German and English is also expected.
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity, and nurture a working and learning environment where the rights and dignity of all staff and students are respected. Visit our Equal Opportunities and Diversity website to learn how we ensure a fair and open environment that allows everyone to grow and flourish.
We look forward to receiving your online application including:
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about our research can be found on our website. Questions regarding the position (no applications!) should be directed to Dr. B. Hattendorf (bodo@inorg.chem.ethz.ch).
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