PhD Student in cardiovascular immunology (m/w/d)

• Position
• Ph D Student in cardiovascular immunology (m/f/d)
• Location
• Campus Großhadern, Universität München, Germany
• Work Arrangement
• Part time, starting
• About the Project

We are seeking a highly motivated Ph D student interested in cardiovascular immunology, multi-omics, advanced imaging, and disease models.

The project focuses on myocardial infarction, thromboinflammation, atherosclerosis, and sepsis, studying the innate immune system and its interactions with non-immune cells via reverse-translational approaches from human samples to in vitro and in vivo disease models.

The Ph D project will focus on one of these topics and include training in omics, imaging, and bioinformatic analyses within a highly interdisciplinary team of biologists, biochemists, veterinarians, physicians, and bioinformaticians.

Responsibilities

• Conduct research in cardiovascular immunology, multi-omics, advanced imaging, and disease models.
• Perform reverse-translational studies using human samples and animal models.
• Analyze omics data and perform bioinformatic analyses.
• Contribute to manuscript preparation, grant writing, and conference presentations.

Qualifications

• Master’s degree in biology, biochemistry, biomedical sciences, medicine, bioinformatics, biotechnology, veterinary sciences or a related field.
• Strong motivation for scientific research and passion for interdisciplinary teamwork.
• Interest in innate immunity, cardiovascular disease, and/or systems biology.
• Critical thinking skills and ability to work independently.
• Excellent communication skills in English (written and spoken).
• Basic understanding of molecular and cellular biology concepts.
• Willingness to learn advanced experimental and computational approaches.
• Preferred Experience
• Experience in immunology, omics technologies, bioinformatics, imaging, or animal models (advantageous but not required).

Benefits

• State-of-the-art training in single-cell and spatial omics, advanced imaging, computational analysis, and disease models.
• Access to human patient material and reverse-translational research approaches.
• Close supervision and mentorship within an international, supportive team.
• Opportunity to contribute to high-impact research and publications.
• Participation in international conferences and scientific networking.
• Strong support for career development.
• Inclusive, stimulating working atmosphere.
• Remuneration under TV-L collective agreement including all public sector allowances.
• Equal Opportunity

Disabled persons will be preferentially considered in case of equal qualification.

#J-18808-Ljbffr