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analysis. Yet, there is a need for a comprehensive computational framework that can better integrate the information derived from both experimental and computational analyses and help chemists analyse
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, fluorescence lifetime and vibrational imaging methods. Large-scale and high-throughput imaging and analysis pipelines: data acquisition and analysis to characterize cell-types and connectivity in mammalian brain
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conjugation for fluorescence dye labeling Proficient in data analysis and presentation Excellent communication skills (oral and written) along with a strong publication record. Additional Information
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science, scalable data analysis, and next-generation experimental workflows that link data acquisition, analysis, and interpretation. We are seeking an ambitious Postdoc to join us in shaping how AI-enabled
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computational algorithm(s), perform data analysis, collaborate with biologists and physicians. He or she will lead multiple projects, work in a multidisciplinary environment and present/publish the results in
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for the analysis of ONT data are expected. The successful applicant will work in the team of the Joint Microbiome Facility of the Medical Univeristy of Vienna and the Univeristy of Vienna (JMF), and support Centre
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at the intersection of machine learning, CRISPR screening data analysis, and multi-omics to uncover genetic interactions and synthetic lethalities in cancer. Develop and apply scalable, reproducible computational
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project activities. Key responsibilities include: Investigation into the GEUS sediment archive to extract information on the properties of subglacial sediments deposited by past ice streams. Analysis
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of the genetically modified mice and/or human specimen using cellular and molecular immunological approaches including genome-wide gene/protein profiling analysis. The candidates are also encouraged to explore new