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Michael A. Nash

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PhD in High-throughput Analysis of Protein-Protein Interactions ETH Zurich D-BSSE / University of Basel in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

100% Basel-based position with a Swiss doctoral salary and conference funding.

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Country

Switzerland

University

University of Zurich & ETH Zurich

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Keywords

Computer Science
Biomedical Engineering
Biophysics
Biology
Computational Biology
Medical Science
Protein Engineering
Protein-protein Interaction
Bleeding Disorders
Directed Evolution
Statistics
ML
bio engineering

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About this position

Michael A. Nash at ETH Zurich D-BSSE / University of Basel is hiring a doctoral student in Basel, Switzerland.

The project focuses on high-throughput analysis of protein-protein interactions, with an emphasis on measuring protein interactions at large scale, developing novel deep sequencing assays, and training machine learning models on the resulting data. A key test case is inherited bleeding disorders, making this a strong fit for students interested in protein engineering, molecular engineering, bioengineering, biophysics, and computational biology.

The position offers joint supervision with Niko Beerenwinkel and combines experimental and computational training in one project. The post highlights a Basel-based setup, a Swiss doctoral salary, and conference funding.

Ideal applicants have an MSc in bioengineering, biochemistry, biophysics, or a related field, strong wet-lab skills, and either Python skills or the motivation to learn them. Experience with yeast display, directed evolution, biotech, biophysics, or AFM is welcome but not required.

To apply, use the linked jobs portal and submit your application through the official ETH Zurich posting.

Funding details

100% Basel-based position with a Swiss doctoral salary and conference funding.

What's required

MSc in bioengineering, biochemistry, biophysics, or a related field; solid wet-lab skills; and either Python skills or willingness to build them. Yeast display, directed evolution, biotech, biophysics, and AFM experience are welcome but not required.

How to apply

Apply via the linked ETH Zurich jobs page. Use the application link in the post and submit your materials through the portal.

More information can be found here

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