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. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial
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BET/DFT surface area analysis, DSC, x-ray diffraction, Raman and IR spectroscopy etc. It is also planned to use synchrotron radiation facilities. Qualifications To be admitted for studies at third-cycle
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Experience with superresolution microscopy, computational image analysis Experience in working with complex cell cultures (epithelial models, organoids) Existing publication record WE OFFER: An international
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motion) Pose tracking and behavior segmentation with tools like DeepLabCut, MoSeq, and Kinect-based systems Longitudinal analysis of behavior from early postnatal to adolescent stages in
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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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thinking. High level of English Advantageous: Experience in cancer nanomedicine. Experience in programming, mastering skills in data analysis. High level of optical microscopy, medical imaging experience. We
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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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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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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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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