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„Research for a life without cancer“ is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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, experience with programming (e.g., MATLAB, Python) is highly desirable Highly motivated, independent, and able to work effectively as part of a team Proficiency in English (both written and spoken
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the consistent further development of its profile-forming priority research areas Molecular Cell Biology, Neurosciences, Cardiovascular Medicine and Oncology. With its German Centers for Health Research partner
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
scientific publications Your profile #M.Sc. degree in geography, environmental science, sustainability, related disciplines or interdisciplinary master programs #experience in handling of geographic- and/or
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research #desired: experience in rural contexts in Latin America (particularly Brazil) #willingness to conduct fieldwork in Brazil for several weeks #fluency in Portuguese or Spanish, English (oral and
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compensation and benefit package according to the standards of the German public sector (position available till end of 2028, with possible extension) A research- and qualification program in line with the CRC´s
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close collaboration within the ChemBion training group. We will provide a structured 3-year cutting-edge Ph.D. student training program in and beyond the fields mentioned above. REQUIREMENTS: We are
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perinatal life (TRR359) involvement in teaching across different life science study programs at the faculty of Medicine Perspective: Junior Group Leaders Your profile at the IPC: analyses of high throughput
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qualification (usually PhD). Tasks: This research project funded by the German Science Foundation within the Priority Programme "Productive Biofilm Systems" aims at, in close collaboration with a partner group at
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl