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studies, especially including ocular imaging. In research, the ability to connect to one or more of the Faculty′s research focuses and cross-sectional areas, in particular vascular biology and medicine
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research findings through publications, presentations, and participation in scientific conferences. Profile Master/PhD degree or equivalent experience in bioinformatics, computational biology, medical
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degree in (Bio-)Statistics, Mathematics, Computer Science, Epidemiology, or a related field Minimum 2 years of experience in data analyses using frequentist and Bayesian approaches. Experience in handling
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degree in a relevant biomedical field (immunology, molecular biology, biochemistry, cell biology or similar) Substantial flow cytometry experience. Hands-on experience with cell sorting is preferred but
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at least one of the four main research areas of the faculty (FSP), in particular vascular biology and medicine, translational neuroscience, medical technology and preventive medicine, is expected. In
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to participate at the usual extent to the department’s teaching programme, and in its academic administration. Prerequisites for a successful application are a doctoral degree in physics or astronomy, teaching
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to participate at the usual extent to the department’s teaching programme, and in its academic administration. Prerequisites for a successful application are a doctoral degree in physics or astronomy, teaching
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Research Engineer (f/m/d) Background: Reproducible science requires access to suitable and transparent research software. In the field of luminescence-based chronology, the statistical programming