Recent developments in experimental methods have made it possible to capture and study the transcriptomes of many single cells from the same tissue. However, most of the single-cell RNA sequencing techniques come with a major drawback: spatial information is lost during the dissociation of the tissue into single cells.
Within the DFG Project “Unbiased single-cell spatial transcriptomics”, we are seeking an outstanding PhD student to develop computational and mathematical methods that will allow the investigation of single-cell spatial transcriptomics. The successful applicant will be a member of the N. Rajewsky lab, a vibrant and highly interdisciplinary team performing cutting-edge research and using state-of-the-art methods.
- University degree (Master/Diploma) in a quantitative field (physics, computer science, mathematics, bioinformatics or related subject) and excellent problem-solving skills.
- Experience in at least one programming language (Python, R or similar) is desired.
- Ability to work independently, as well as within an interdisciplinary team.
- Prior exposure to biology and life sciences is welcome.
- Good communication skills in English (written and spoken).
The MDC is an equal opportunity employer and supports gender equality.
Please, send your application including all documents indicating the registration number preferably by e-mail to email@example.com as pdf files (2 files of 5 MB at the maximum) as we do not return any papers.
The salary will be paid according to TVöD/Bund E13 (65%).
Earliest starting date is 15th March 2019.
The position is initially limited to 36 months (3 years).
28th February 2019
Dr. Nikolaos Karaiskos
Systems Biology of Gene Regulatory Elements
Max Delbrueck Center of Molecular Medicine