19.12.2023, Wissenschaftliches Personal
About the Project: The successful candidate will join the Andergassen lab at the Institute of Pharmacology and Toxicology, Technical University of Munich (TUM). The lab bridges computational (allele-specific epi-genomics) and experimental strategies (high-throughput bulk/single cell sequencing, viral vectors, CRISPR in vivo editing) to understand the molecular mechanism behind sex differences observed in heart failure. A particular focus will be on genes that escape X-chromosome inactivation in females, resulting in higher gene dosage compared to males, an understudied epigenetic phenomenon that has so far not been linked to sex bias in heart failure. This basic project will deepen our understanding of the molecular mechanisms underlying the sex bias in heart failure and aims to develop RNA-based therapies for sex-specific treatments. More information about the lab: www.andergassenlab.com and here
About the institute: The Institute of Pharmacology and Toxicology (IPT) is part of the Medical Faculty of the Technical University of Munich (TUM), one of the leading universities in the European Union. The institute's research focuses on non-coding RNAs, their control of cardiac gene expression, and the effects of their therapeutic manipulation in cardiac disease. The institute's state-of-the-art research facility includes a fully equipped mouse cardiac phenotyping lab, a viral vector core, and the entire experimental pipeline for next-generation sequencing from tissue or single-cells, including FACS-based cell separation. Furthermore, the IPT coordinates and receives funding from the DFG Collaborative Research Center TRR267 "Non-coding RNA in the Cardiovascular System" and is the Munich partner site of the German Center for Cardiovascular Research (DZHK). More information: www.ipt.med.tum.de
Your profile
• Ph.D. in molecular biology, ideally with a computational background (for PostDoc applicants)
• You must have at least one first-author publication (for PostDoc applicants)
• You hold a master's in molecular biology and have a computational background (for Ph.D. applicants)
• Solid wet-lab experience and experience in library preparation for next-generation sequencing
• Experience working in a Linux/Unix environment and R programming
• Written and oral communication skills in English
• Highly motivated scientist and commitment to scientific excellence
We offer
• 3-year contract with option to extend (payment according to TV-L E13)
• State-of-the-art facility in house
• Access to the Leibniz-Rechenzentrum (LRZ)
• A highly motivated and international institute with a high PostDoc to student ratio
• Membership in the TUM Graduate School and benefit from educational programs
Your application: The TUM aims to increase the diversity of its staff substantially. As an equal opportunity and affirmative action employer, the TUM explicitly encourages nominations of and applications from women and all others who would bring additional diversity dimensions to the university's research and teaching strategies. The position is suitable for people with disabilities. Applications from people with disabilities with essentially the same qualifications will be given preference. Please send your complete application documents (cover letter, C.V., certificates) via email to:
Daniel Andergassen Ph.D.
[email protected]
TUM, Institute of Pharmacology and Toxicology
Biedersteiner Strasse 29, 80802 Munich, Germany
The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: [email protected]
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