The International Research Training Group 2466: “Network, exchange, and training program to understand plant resource allocation“ within the Faculty of Mathematics & Natural Science of Heinrich-Heine-University Düsseldorf, Germany, seeks
two PhD students with background in bioinformatics, machine learning, physics, or related fields
starting as soon as possible (65%, pay grade 13 TV-L).
One PhD student will work on Deep Generative Models to predict 3d folding structures of RNAs and proteins under the supervision of Prof. Markus Kollmann (Mathematical Modelling of Biological Systems). The second PhD student will develop a non-linear computational model for the growth of photosynthetic cells under the supervision of Prof. Martin Lercher (Computational Cell Biology). We are looking for talented, highly motivated applicants holding an excellent bachelor or master degree in a relevant discipline.
The IRTG 2466, funded by the German Research Foundation, is a joint effort of Heinrich Heine University, Research Center Jülich, and the Graduate Program in Genetics at Michigan State University (USA). Researchers of these institutions are pursuing innovative strategies to address fundamental problems in plant biology.
The iGRAD-Plant Graduate Program offers a comprehensive, interdisciplinary PhD training program in the fields of molecular plant sciences, plant genetics, synthetic biology, and quantitative and theoretical biology. Future PhD students will join courses in transferable and scientific skills, regular seminars and retreats and practical courses in state-of-the-art laboratory methods. The training program is jointly organized by all three partner institutions.
For detailed information about the individual projects, the application procedure, and required application documents as well as our graduate training program visit http://www.igrad-plant.hhu.de. For questions and to submit your application please contact Dr. Petra Fackendahl, email: firstname.lastname@example.org.