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/departments/bpc/pharmatoxikol ). The PhD project is funded by the German Research Foundation and aims to investigate the molecular programs of renal cellular plasticity, which are crucial for kidney repair
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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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, or similar. You have laboratory experience and an interest in developing your bioinformatic skills. You have very good written and oral communication skills in English. Requirements: The position
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, giving rise to complex lesions. GSI is working on the quantification of such complex lesions in particular in dependence on radiation type. Within this program, the GSI biophysics department offers a PhD
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: Experience in molecular/cell biology techniques AND basic programming skills (Python or R) • For computational candidates: Strong programming skills AND interest in cancer biol-ogy/immunology • Ability
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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We
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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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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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Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). TUD Dresden University of Technology embodies a university culture that is characterized
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput