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, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts
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to integrate automation, real-time data analysis, and intelligent control strategies to advance how we cultivate microbes. If you are primarily driven by curiosity about microbial life or equally motivated
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closely with partners at TUD on performance analysis and validation. To be qualified for this position, you should have ▪ Excellent master’s degree in Electrical Engineering, Communications Engineering, or
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biochemists developing the labeling agents, data analysts developing analysis algorithms and physicists developing hardware. The candidate The candidate should have a firm base in in vivo imaging and cell
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
biology, biochemistry, and utilizing single-cell analysis technologies. Plan experiments, analyze experimental data, write scientific publications, and present research findings in seminars and scientific
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by a training programme in computational physics, data analysis techniques, space technology, project management, scientific writing, and presentation and other skills. Space missions and ground-based
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good English required (at least B2/C1 level according to CEFR) Experience with X-ray scattering experiments or large-scale data analysis is a plus Look forward to a unique working environment on our
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25 Feb 2026 Job Information Organisation/Company Medical School Berlin Department Human Medicine Research Field Medical sciences » Health sciences Researcher Profile Other Profession Positions PhD
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workflows for descriptor based microstructure reconstruction to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property
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for translational research. By combining super-resolution microscopy with genome editing and advanced image analysis, we systematically assess how these methods can reveal disease-associated cellular phenotypes