We are setting up our team and we are looking for students and scientists with diverse backgrounds. Interested graduate students, postdocs, physicians, technicians, and undergraduates are welcome to inquiry for positions. We use live cell imaging, single cell approaches, genomic tools,
theoretical methods from physics and mathematical models to understand how cells respond to anti-cancer treatment. Regardless of your education, we are looking for people who are motivated to learn and develop new tools to tackle tough research problems with their feet in basic science and a perspective on future cancer treatments.
PhD Students. We are currently looking PhD students interested in computational and experimental tools for cancer research. The Granada lab uses both wet and dry lab approaches and expertise is welcomed in either, though the ideal candidate would have interest in both aspects of research. We are currently looking for students for the two following priority projects:
- An experimentally-centered PhD project. Study in-vitro models of triple negative breast cancer to identify cellular vulnerabilities in the context of chemotherapy. The project involves extensive use of genetic engineering for developing new markers, cell line generation and single cell microscopy techniques. This projects will initially focus on how non-genetic cellular states affect the response to chemotherapy. It will use extensively high resolution single-cell microscopy to characterize chemotherapy outcomes relative to internal cellular states. Students will implement already established image analysis pipelines and the data analysis tools. Programming skills are definitely a plus for us but not a must.
- A theoretically-centered PhD project. Analyze and search for determinants of therapy outcome based on in-vitro imaging data and patient and tumor metadata. To develop computational models of cellular proliferation to describe the dynamics of transition between different cell-fate states. Use topology metrics to analyze data generated from our 2D and 3D live experiments to further develop current spatial models of tumor growth. Students are expected to be comfortable programming and developing their own data-analysis pipelines (R, C, Matlab, Python or others). Background in non-linear dynamics and topology are a plus. Experimental skills are definitely of interest for us but not a must.
Interested applicants, please refer to either of these two projects in your application (including CV and motivation letter) and send your application per email to: email@example.com
We are looking for researchers who want to establish themselves as independent scientists. We will design projects together combining your and our strengths. Candidates should have an interest in both experimental and computational approaches and expertise is welcomed in either.
Preferred skills: programming / imaging experiments / genetic engineering / mathematical modelling.
MSc Students and internship students
We offer a diverse, supportive and collaborative research environment in a top cancer research institute. There are many opportunities for you to gain training in both single-cell experimental, computational and theoretical skills. As your advisor Adrian’s role is to help you work towards your research and career goals, regardless if you are in the lab for a very short internship or a 3-year stay. Joining the lab is a training opportunity for you and we will work together to make the best out of it.
We are part of the Charité Comprehensive Cancer Center (CCCC), which is supported by the German Cancer Aid as a center of excellence in oncology and is the first oncological center certified through the German Cancer Society. The lab is located in the center of Berlin at the main campus of Charité – Universitätsmedizin Berlin, one of Europe’s largest university hospitals.
More information and applications (including complete CV and motivation letter) per email to: firstname.lastname@example.org