The Graduate School of Quantitative Biosciences Munich (QBM) is offering Ph.D. positions for students with a background in biochemistry, biology, bioinformatics, physics or applied math and an interest in conducting interdisciplinary research at the interface of experiment and quantitative theory.
The Graduate School seeks to prepare young life scientists for the emerging era of quantitative, systems-oriented bioscience. It provides an innovative, international Ph.D. training program that bridges the divide between traditionally separate disciplines, from biochemistry and medicine to bioinformatics, experimental and theoretical biophysics, and applied mathematics.
While maintaining a strong command of their ‘home’ discipline, QBM students will become well versed in multiple approaches and styles of thought and learn to communicate and work effectively with scientists from different backgrounds.
QBM is a joint initiative by leading scientists from the Ludwig-Maximilians-University Munich, the Technical University Munich, the Max-Planck Institute of Biochemistry and the Helmholtz Center Munich.
For detailed information about our application requirements see:
http://qbm.genzentrum.lmu.de/application/requirements/(link is external)
Please note that you need to have a completed Master’s degree or equivalent in a relevant field prior to starting the Ph.D. program. In exceptional circumstances, highly promising students with a Bachelor’s degree can qualify by passing an entrance exam; please contact us directly by email.
Ph.D. research
In your application, you can select up to four research groups you are interested in. For details about research areas and participating research groups, please see:
http://qbm.genzentrum.lmu.de/research/(link is external)
Travel expenses and accommodation for the interview week will be covered by QBM.
For further information, please visit the FAQ(link is external) page or contact the QBM administrative office(link sends e-mail).Apply for this job
This post was last modified on May 5, 2019 11:42 am
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