The Berlin Institute of Health at Charité (BIH) is dedicated to biomedical translation. Its mission is to translate research findings into personalized prevention, diagnostics, and therapies to benefit patients and provide the scientific community with effective tools. With approximately 750 employees, the BIH specializes in translational method development, precision medicine, regenerative therapies, and biomedical data science. Closely integrated with Charité, the BIH promotes excellent research and facilitates the accelerated transfer of new discoveries into clinical practice through its supporting platforms and programs. Through these efforts, the BIH builds strong partnerships and fosters innovation-driven medicine in both national and international contexts.
For Prof. Dr. Christian Conrad’s team, we are looking for a PhD student in part-time (25.03 h/week) for a period of 3 years.
Genetic sequencing is mainly driven by fluorescence imaging. In the advent of spatial imaging and in situ sequencing directly on cells and human tissues, the group of Prof. Christian Conrad aims to apply latest deep learning and microscopic automation for translational medicine and molecular pathology. This includes fast optical imaging, single cell sequencing, machine learning and describes well the foci of the intelligent imaging group to study and improve patient care at Charité – BIH Center of Digital Health.
Tasks & ResponsibilitiesWe live diversity! We welcome applications from people with diverse backgrounds, regardless of gender, nationality, ethnic and social origin, religion and ideology, disability, age, sexual orientation and identity. Applications from women are expressly encouraged. Severely disabled and equivalent applicants will be given special consideration if they have the same qualifications and suitability. We believe that diverse teams representing a wide range of experiences, perspectives and backgrounds enrich our research and work.
Proof of measles immunity / measles vaccination is a prerequisite for employment for those born after 1970.
Job description automatically summarized using AI
Veröffentlichungsdatum:
07 Nov 2026Standort:
BerlinTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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