The ideal candidate brings along a degree that demonstrates an interdisciplinary background in both life and formal sciences. While a background cancer-/immune biology and single cell proteomic/transcriptomic experiments are a plus, a solid background in mathematics, statistics, machine learning and programming is required to carry out the planned algorithm developments and data analysis.
We are looking for a highly motivated candidate with excellent communication skills that is capable of working in an interdisciplinary environment and can team up with scientists for experimental as well as computational analysis. The candidate should have a high degree of initiative. We offer work in a highly stimulating environment with state-of-the-art infrastructure, providing the successful applicant with unique opportunities to develop a strong interdisciplinary portfolio in both experimental and computational biology.
For further information about the position, please contact Manfred Claassen by e-mail, email@example.com, and visit our website. Applications with a motivation letter, full CV, diploma(s) and two contacts for further references should be sent online to firstname.lastname@example.org.
The University aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply. Qualified international researchers are expressly invited to apply. Disabled persons with equal aptitude will be given preferential consideration.