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by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission
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focused on translational control in cancer • Drive the development and advance our single-cell ribosome profiling strategies in mouse models of cancer • Contribute to the development and optimization of new
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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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at the systems level. By integrating groundbreaking multiomic methods at the single-cell level with advanced experimental models, such as human organoids, the laboratory maps the molecular and cellular mechanisms
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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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optimize chemical compounds. Your work relies heavily on the ability to synthesize complex chemical structures and to investigate and understand chemical-physical and biological properties of chemical
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hydrate–based carbon capture. The work will include reaction optimization, purification strategy development, scale-up toward bulk production, and exploration of alternative promoter candidates