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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 23 days ago
out all the experiments and analysis required for the completion of the project. Hi-C and Micro-C analysis Adapting multi-way contact genomic tools for Drosophila Building visualization framework
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, the fellow will lead the development and execution of advanced functional and distributional data analysis techniques. This role requires independent analytical acumen to design simulation studies, process
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Advance Computational Behavioral Analysis Develop and validate automated methods for analyzing caregiver-child interactions using computer vision, multimodal machine learning, and artificial intelligence
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projects. The research associate will develop expertise in retinal imaging, experimental design, data analysis, scientific writing, manuscript preparation, and presentation of research findings, supporting
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experimental approaches including electrophysiology, data analysis, and computational approaches. Possible methods include ex vivo electrophysiology of human, primate, pig, and mouse retina, in vivo recordings
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experimental enclosures with the ultimate aim of reconstructing the visual circumstances leading up to mate detection. The successful candidate will contribute to an Australian Research Council funded project
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malaria parasites or other infectious disease models. Proficiency in FlowJo, R, and/or RStudio for high-dimensional flow cytometry data analysis and visualization. Experience with high-parameter spectral
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. Excellent analytical skills with high attention to detail. Experience with geospatial data visualization tools such as ArcGIS, Cesium, or similar. Familiarity with urban-scale building energy modeling
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experimental workflows Specific Requirements Experience in Python or similar tools for data analysis, visualization, and automation would be an advantage, especially for handling large experimental datasets and
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, presence of organic load). 5. Data analysis and reporting Analyze chemical, physical, and biological data using statistical methods and appropriate software. Generate clear, well-structured reports