PhD position in Computational and Developmental Biology in Berlin
vor 7 Monaten
Job Description
You will develop new algorithms to infer cellular differentiation trajectories in the developing embryo from time-resolved single-cell RNA, spatial transcriptomics and lineage tracing data You will use machine learning methods to combine spatial transcriptomics data with other data modalities such as single-cell transcriptome or advanced microscopy data You will compare mouse embryonic development with a variety of other species (e.g. human, fish, bird) and synthetic embryo models You will analyse and compare synthetic organoid development with in vivo embryonic development You will work closely with experimental collaborators You will be an active member in a highly interdisciplinary team, that involves data scientists and computational and experimental biologists
Requirements
MSc degree in the computational or natural sciences Strong computational or quantitative focus (computational biology, bioinformatics, mathematics or a related field) Strong programming skills (Python, R) are essential; experience in building efficient and reusable software would be a plus Excellent communication skills facilitating frequent exchange with group members and scientific collaborators Solid statistical knowledge and experience with state-of-the-art machine learning methods Ability to work independently and to undertake challenging analysis tasks
We offer
international working environment with communication in English and German interesting career opportunities and a range of opportunities for further qualification and training Compatibility of family and career certified by the workandfamily audit (“berufundfamilie audit”) Support for "New Berliners" through the MDC Welcome & Family Office On-campus health and fitness center Stimulating and international research environment with excellent science Opportunity to work on cutting-edge biomedical data Ability to become an expert in single-cell genomics and machine learning approaches to biomedical data
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