PhD candidate in Systems Medicine (m/f/d)

Your Profile:

• Master or equivalent in molecular biology, immunology, bioinformatics, systems biology, or comparable topics
  
• Strong research background in immunology, cell biology, and genomics or transcriptomics
  
• Strong interest in omics technologies and computational analysis
  
• Practical experience in multi-color flow cytometry, molecular and cell biology, and transcriptomics is of advantage
  
• Experience with cell culture, flow cytometry, or animal models is highly desirable, as is proficiency in programming languages such as R or Python for high-dimensional data analysis
  
• Practical experience in working with mice as animal models is of advantage.
  
• Practical knowledge of data analysis and machine learning using R or Python is of advantage
  
• Very good English proficiency
  
• Enthusiastic and collaborative work attitude
  
• Ability to work independently as well as in a team
  
• Excellent communication skills, a collaborative mindset, and a passion for addressing impactful questions in systems medicine are essential

Your Tasks:

• design and carry out single-cell multi-omics and high-dimensional cytometry experiments
  
• develop and maintain organoid and animal model systems, and perform comprehensive data analysis using modern computational pipelines
  
• investigate PFAS-driven changes in the immune system
  
• identify molecular pathways involved, and explore potential intervention strategies
  
• Your work will be conducted in close collaboration with experts in data and information sciences, immunology, and epidemiology, fostering a truly interdisciplinary environment
  
• work with fully established genomics, bioinformatics and wet-lab facilities and modular high-performance computing resources
  
• benefit from a membership in one of our graduate school programs

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