Graduate School of Quantitative and Molecular Biosciences Munich
Ludwig-Maximilians-University Munich
Program Overview
The molecular biosciences are undergoing a major paradigm shift – away from analysing individual genes and proteins to studying large molecular machines and cellular pathways, with the ultimate goal of understanding biological systems in their entirety. The study of biomolecular systems poses major methodological and conceptual challenges, centred around the need for quantitative approaches. This includes the development of sensitive quantitative assays for in vitro and in vivo approaches; improved measurement techniques that ideally push resolution limits to the single molecule level; statistical methods to deal with high-dimensional, often noisy, data sets; and mathematical modelling approaches that reduce the dimensionality of parameter spaces and produce mechanistically realistic, experimentally testable predictions. As a result, systems-oriented biological research is inherently an interdisciplinary undertaking, involving biochemistry/structural biology, molecular and organismal genetics, biophysics, biostatistics, bioinformatics, and theoretical physics. Recently, AI (AlphaFold, computer vision, etc.) has had a huge impact on life science, proving that this field is constantly changing. The mission of QMB is to provide young scientists with the skills and resources to excel in this new multi-disciplinary environment. We seek to train a cohort of young scientists who, while firmly anchored in their primary disciplines, are well versed in multiple approaches and styles of thought. The goal is for the students to be comfortable communicating across traditional boundaries, especially across the divide between experiment and quantitative theory – to become, in effect, scientifically bilingual or multilingual. To this end, the school offers a structured PhD programme consisting of three components: an interdisciplinary research project, a substantial programme of formal course work centred around an interdisciplinary core course that covers key problems in bioscience from multiple perspectives, and activities designed to enhance students' communication skills and their ability to succeed in the competitive profession of science. Additional support is offered by the GraduateCenter.
EURFinancials
Financials
INFOIntakes and Duration
Intakes and Duration
Intake Season
Only for doctoral programmes: any time
Duration
9 semesters or more
COCareer Outcomes
Career Outcomes
You can always explore various career paths after completing this program. The listed options are some of the most popular among graduates.
EURSalary Outlook
Salary Outlook
Typical range
The stated annual salary (e.g., TV-L E13: €50,000–€65,000 for 100%) refers to a full-time position. In practice, many universities and public research institutes (such as Leibniz institutes) offer part-time contracts, commonly 50%, 65%, or 75%, and only occasionally 100%. The actual salary is therefore proportional to the contract percentage. Applicants are strongly advised to clarify the employment percentage before accepting an offer.
Fresher, mid-level, and experienced ranges are linked to external sources so they stay auditable for applicants.
LANGLanguage & Exams
Language & Exams
Teaching Language
English
Applicants must provide proof of English proficiency (IELTS, TOEFL, comparable certificates, confirmation from previous academic institution, etc.).
REQRequirements
Requirements
Academic Admission
Master's degree in any relevant discipline: biochemistry, biophysics, biomedical sciences, bioinformatics, experimental and theoretical biophysics, (physical) chemistry, and applied mathematics; two letters of recommendation and a proof of English proficiency. See this link for more details: https://qbm.genzentrum.lmu.de/application/requirements/ .
APS Certificate
Not required for PhD/doctoral programmes.
IELTS Score
Not specified
Application Deadline
Application deadlines are subject to changes. Please refer to the above university course link for the most accurate information.
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