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project aimed at advancing our single-cell ribosome profiling technologies in cancer. For further information about the lab, please visit https://www.sendoellab.org/. The Institute for Regenerative Medicine
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related to the exchange of momentum, energy, and mass. Significant challenges persist in understanding processes and feedbacks. The Land-Atmosphere Feedback Initiative (LAFI, https://lafi-dfg.de ) is an
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/performance trade-offs and typical RAN levers; experience with energy metering data is a plus. • Strong background in AI / Machine Learning for decision-making (e.g., forecasting, optimization with learning
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Independently design, execute, and lead a postdoctoral research project at the interface of tumor immunology, metastasis biology, and CAR T cell therapy Establish, optimize, and applypreclinical in vivo
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with an energy harvester empowering device. As such, the selected candidate will have (i), to fabricate and characterize solid state microbatterie(s) (ii), explore how to promote their optimal charging
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pioneered new conceptual and technological frameworks to interrogate these mechanisms, including inducible and reversible global microRNA loss-of-function, cell type–specific microRNA–target interaction
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. Given the medicinal chemistry–driven nature of this project, we are specifically seeking a candidate with documented experience in lead optimization, including structure–activity relationship (SAR
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for internal and external projects, bringing it up to industry standards. You will Develop and optimize the specificity assay for biologics, with technical support. Identify and assess innovative applications
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transcriptomic technologies and biological data interpretation is a plus. Familiarity with optimizing cell segmentation algorithms for enhanced accuracy and efficiency, as well as experience with tools/packages