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data. We have developed in vivo single-cell CRISPR technologies to screen for dozens of molecular factors in vivo during developmental and disease. These technologies are a game-changer in the speed
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and ecohydrology would be ideal but is not required. Experience in big data analysis, data science methods, Machine learning and/or artificial intelligence would be a strong asset. ·You enjoy both
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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research areas of the CRC is expected, and more information can be found at www.trr-energytransfers.de. We invite applications for a PhD position in the area of Air Sea Fluxes at the Institute of Coastal
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on causal and mechanistic studies of microbiome-mediated pathogenesis. This is achieved by bridging microbiology and big data analytics in a structured doctoral training environment. The need of microbiome
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, ecohydrology, and/or ecology would be ideal but is not required. Experience in numerical modelling, big data analysis, and plant ecological and physiological processes, · You enjoy both modelling, model
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. A background in forest engineering, ecohydrology, and/or ecology would be ideal but is not required. Experience in numerical modelling, big data analysis, and plant ecological and physiological
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analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
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of testicular tissue Validate gene expression at the protein level via IHC and Western blotting Analyze large-scale transcriptomic data (R, Python) Test allele-specific regulatory activity using luciferase
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biological data, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists