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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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broad range from immunology, cell and molecular biology, omics and bioinformatics. The project is funded by the Deutsche Forschungsgemeinschaft (DFG). RESPONSIBILITIES: Design and conduct experiments
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Biology Metabolism & Nutrient Sensing Mitochondrial Biology Neuroscience & Neurodegeneration Protein Homeostasis RNA Metabolism Stem Cells & Tissue Regeneration Systems Biology & Bioinformatics Tumour
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gene expression studies in real-time PCR RNA sequencing and transcriptome analysis with corresponding bioinformatic evaluations You will document your work, analyze and interpret the measured values
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research and bioinformatics Ability to work independently, team spirit, and enthusiasm for research Personal commitment and determination for the project We offer A unique, cutting-edge research project in a
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 20 hours ago
approach combining molecular biology, genetics, genomics, epigenomics, metabolomics, biochemistry, biophysics and microscopy with bioinformatics and modelling. We work with Arabidopsis thaliana, tobacco
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interdisciplinary and work in collaborative teams, e.g. (but not limited to) molecular biology-clinical, bioinformatics-biology Knowledge of basic microscopy and flow cytometry methods Experience with cell culture
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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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extraction, qPCR, cloning etc.), biochemistry (eg, metabolomics using LC-MS, extraction and purification of plant metabolites), bioinformatics (amplicon sequencing/metagenomics). Strong interest in tree
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: 29.07.2025 Limitation:Temporary (2 Jahre, Verlängerung angestrebt) Contract:TV-L Your tasks Single-cell multiomics in primary cells: wet-lab experiments and performing bioinformatic analyzes on the single-cell