JOB ALERT : 12 month post-doc position available, PNA chemistry

Molecular storage systems are ultradense information recorders that use DNA, proteins, and polymers as media fostering user-defined information. Many efficient implementations have been proposed and tested for DNA-based data storage platforms. However, reducing the cost of DNA data recording remains challenging given that synthesis is inherently sequential and, therefore, slow and costly. To mitigate the above problems associated with DNA-based data storage, we propose to investigate a new approach that combines the benefits of a molecular alphabet extension with those of modifying the topology of the DNA sugar-phosphate backbone. Our model will be based on peptide-derived backbone. Furthermore, the protein nanopore readouts will ensure accuracy. The proposal entails the collaboration of four distinct partners, each contributing expertise essential to developing an entirely new data storage platform, encompassing coding, synthesis, and readout capabilities. Additionally, it involves the integration of three CY University laboratories. The proposal incorporates a networking component to form a collaborative team for future applications.