PhD Position in Algorithmic Bioinformatics (m/f/d)
The Canzar lab at the Gene Center of the University of Munich (LMU) is recruiting graduate students in algorithmic bioinformatics, to start in spring 2022.
The successful applicant will develop and engineer efficient algorithms for analyzing biomedical high-throughput sequencing data. As part of a collaborative research center, (s)he will work together with biologists and clinicians to address computational challenges that arise in the engineering of lymphocytes for adoptive immunotherapy. In this context, we have recently developed methods and software tools to accurately sketch massive amounts of single-cell data sets, to efficiently cluster and visualize multimodal data types, and to compare tree-like single-cell trajectories of immune cells extending techniques from natural language processing. The successful candidate will continue to employ techniques from combinatorial optimization and machine learning to facilitate the integrative analysis of single-cell genomics data that can help to improve the functionality of engineered T cells.
The Canzar lab is embedded in the stimulating, interdisciplinary environment of the Graduate School for Quantitative Biosciences Munich (QBM), which integrates approaches ranging from bioinformatics and theoretical biophysics to molecular systems biology.
We are seeking motivated candidates with a degree in computer science, (applied) mathematics, or bioinformatics to join our lab. Background/training in biology or medicine is not required, but a strong motivation to implement and tailor novel algorithms for their application to biomedical data is expected.
To apply, send your application materials, including a motivation letter, current CV, and names of two referees in a single pdf file before 29 November 2021 to Stefan Canzar (email@example.com). For more information about the lab and our work, please visit the Canzar lab webpage.
Applications close on 29.11.2021.
The University of Munich is an equal opportunity employer. Handicapped candidates with equal qualifications will be given preference.
Website Gene Center: www.genzentrum.uni-muenchen.de
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