Description

This PhD program covers technical and formal disciplines of considerable heterogeneity. In this sense, it matches exactly the profile expected from future researchers who combine and complement biomedical projects at MUW with expertise in technical and formal sciences. Graduates will be able to deliver essential parts in scientific cooperations with all MUW-research clusters, due to an ever growing importance of data driven natural, technical and formal sciences in interdisciplinary life-science settings. Complex Systems Research is a cutting edge approach, applicable, but not limited to, genome research.

The wide scope of this PhD program is both, challenge and strength.

Projects offered to the PhD-students will in most cases closely relate to one of the focal points of research at the MUW. Specific topics in computer science, statistics or complex systems research, will be elaborated to produce new scientific findings in their own right. However, due to the projects being driven and motivated by the life sciences, the outcome will also gain interdisciplinary relevance.

The basic lecture course is designed to provide a wide-scope understanding for all participants. Basic courses from other PhD-programs at the MUW, e.g. Biomedical Engineering, are accredited and may be selected (after consent of the coordinator) by students working on specific topics not covered by courses of this program. On top of that, seminars – which may be held in conjunction with working group-meetings - will allow deep penetration into specific research topics.

Finally, the wide scope of this program, which includes mandatory lectures in biostatistics, will provide a comprehensive methodological background and sufficient expertise for experimental design and data evaluation.