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plasticity in intestinal regeneration and cancer to contribute to the preparation of scientific publications and presentations to contribute to teaching in Biomedical Sciences (Master programme) Profile: M.Sc
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-marburg.de/en/fb20/departments/bpc/pharmatoxikol ). The PhD project is funded by the German Research Foundation as part of the Priority Programme SPP 2493 (https://www.uni-saarland.de/forschen/hetcci.html
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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on this work by using molecular methods to unravel the forces that modulate mutagenesis across the genome of mutagen-exposed cancer cells. You’ll be introduced to advanced statistical and computational methods
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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access to international research networks dedicated and structured supervision comprehensive training and mentoring program free use of public transportation in Hessen (“state ticket”) We actively support
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interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et
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The position is funded for 3 years (65% TV-L E13), starting on January 1st, 2026, within the framework of the TTU HIV program of the German Center for Infection Research (DZIF). Project Description: Although
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resume with professional and technical skills, and exploring the scientific and cultural diversity in Europe and North America? The graduate training program in Scalable 2D-Materials Architectures (2D