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                and RNA-seq techniques (including data analysis) Cellular metabolism Mammalian tissue culture and cell manipulation Fluency in English (knowledge of German is not required) Our Offer: Scientifically 
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                : 01.10.2025 Application deadline: 03.09.2025 Tasks Execution of experimental work in a mouse model of cortical multiple sclerosis Application of in vivo imaging and quantitative analysis methods Investigation 
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                research environment is highly collaborative and interdisciplinary, spanning genome biology, computational analysis, and translational cancer research. Members of the lab gain expertise in next-generation 
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                experiments utilizing state-of-the-art approaches such as: Animal models of metabolic diseases and atherosclerosis Flow cytometric analysis of immune cell populations from murine tissues using full spectrum 
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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 
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                for Neurosciences, Biophysics, and Molecular Biosciences (GGNB). The MINFLUX and MINSTED concepts have unlocked the door to minimally invasive, low-light-level analysis of the structure and dynamics of macromolecules 
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                , or a related field A strong interest in magnetic resonance, biomedical imaging, and computational analysis Programming skills (C++, Matlab, Python) Willingness to perform cell culture and animal 
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                materials: spectroscopic investigations of two-dimensional semiconductors, measurements and analysis using linear and non-linear microscopy. The scientific work further includes collaborations with national 
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                bioinformatics/computational data analysis Facts & figures Workplace MDC Berlin-Mitte Salary Remuneration will be according to the TVöD Bund, depending on the personal requirements, up to the fee group E13 Desired 
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                . He/she/they will learn and apply state-of-the-art molecular and cell biology technologies established in our team, ranging from in vivo disease models to multi-omics and single cell analysis