Master thesis in single cell transcriptomics/computational biomedicine
Ludwig-Maximilians-Universität (LMU) München is recognized as one of Europe's premier academic and research institutions. The Gene Center is a central scientific institution of the LMU located in the heart of its Life Science Campus in Großhadern/Martinsried.
The research group of Professor Johanna Klughammer at the Gene Center, LMU Munich, Germany, is looking for a
Master student or Master-level research intern (f/m/d) in single cell genomics/computational biomedicine
We are working towards improving our understanding of the regulatory landscape of cellular systems in health and disease across immunology, cancer biology, and evolution using high-dimensional molecular data (e.g. single cell and spatial transcriptomics, epigenomics). The analysis and integration of existing and new cutting-edge data sets, as well as the development of new computational tools to more efficiently and comprehensively leverage the ever-increasing wealth of data are a corner-stone of the lab’s efforts. Complementarily, we will be establishing and improving spatial-transcriptomics technologies towards the comprehensive spatio-molecular profiling of clinical samples and in vitro systems including organoids.
Find out more here: https://www.genzentrum.uni-muenchen.de/research-groups/klughammer/
- Bachelor’s degree or equivalent qualification in biology, biomedicine, biochemistry, computational biology, bioinformatics, data science, or a related field
- Computational skills (Linux console, Conda or similar, Python or R)
- Experience or strong interest in working with high-dimensional data (e.g. bulk or single-cell sequencing data, multiplex imaging data)
- Strong interest in immunology, cancer biology, epigenomics/evolution, or cellular systems/tissue architecture
- Fluent written and spoken English
You will be working in an enthusiastic, multidisciplinary team comprising computational and wet-lab scientists with an equal focus on scientific excellence and inter-personal competence. Possible projects range from data analysis with a focus on biological questions to computational methods and algorithm development and can be tailored to your interest and background. The start date is flexible.
Please send your application consisting of a cover letter and a curriculum vitae to firstname.lastname@example.org
Applications will be considered at any time.
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