Research and Thesis Projects

Our open master's & project theses are listed below.

If you have an idea for a project related to our research and would like to work with us, please contact us directly.

Development of a method for homologous Iterative Double-selection Recycling Assembly (hIDRA)

Selection marker shortage is a common issue in molecular biotechnology when trying to createyeast strains with complex circuits and functions. Modular cloning (MoClo1) methods allow forintegration of multiple transcriptional units (TUs) in the same locus, they lack the possibility ofeasily recycling the same locus to change/add functions. Here, we can exploit lab automation forGolden Gate Assembly (GGA), and yeast transformation to go directly from assembled product toengineered strains. We call this method SAGE (Single-step Assembly and Genome Engineering).

The goal of this project is to design, build and test the DNA landing pads necessary to establisha novel automated assembly method that would allow for continuous integration of DNA over thesame two arbitrary selection markers, used in a circular manner: hIDRA (homologous Iterative Double-selection Recycling Assembly).

Type: Master research/thesis project
Requirements: Strong molecular cloning skills, basic understanding of MoClo methods; basic knowledge data visualizationand statistics, basic knowledge in Python.
Supervision: Arianna Candreva, Dr. Sebastian Sosa-Carrillo, Prof. Dr. Jörg Stelling.
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Development of a new, cost effective, point-of-care diagnostic (evaluation) system

Type: Research/Thesis project
Requirements: Good rapid prototyping skills (3D design & printing); Good programming skills (OOP), preferentially experience with Java and Python (C++); basic knowledge in Optics, camera sensors, image generation and processing and electronics; basic knowledge in microfluidics; basic knowledge in diagnostics; basic knowledge in statistics and experimental design.
Supervision: Dr. Andreas Cuny, Prof. Dr. Jörg Stelling.
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Development of a modular phase microscope based on TIE

Type: Master or Bachelor Thesis
Requirements: Good rapid prototyping skills (3D design & printing); Good programming skills (OOP), preferentially experience with C++ and Python; Knowledge in optics, camera sensors, image generation and processing and electronics; basic knowledge in Molecular biology and the model organism yeast; basic knowledge in statistics and experimental design.
Supervision: Dr. Andreas Cuny, Prof. Dr. Jörg Stelling.
Download More information (PDF, 55 KB)

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