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collected in these trials will feed into the development of the Human Dietary Digital Twin—a computational model for the prediction of individual metabolic responses to complex meals. This modeling work will
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modifications in terms of methodology and substrate scope. The developed knowledge will be applied in the synthesis of complex carbohydrate-based natural products. You will be trained in organic synthesis and
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-of-the art electrophysiological and behavioral recording methods as birds freely engage in dynamic vocal interactions. This neuroethological approach will reveal how complex streams of acoustic input
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research, algorithmic discrete mathematics, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic, and
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relevant field (e.g., computer science, AI, Data Science), ideally with experience in network science (complex networks/social network analysis) and AI; Experience with programming in languages relevant
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this challenge by developing mechanistic computational models. You will apply these models to recapitulate key aspects of intestinal development in the nematode Caenorhabditis elegans, which is an excellent model
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are persistent challenges. Additionally, each local context brings its own social, ecological, and institutional complexities, making it difficult to scale up successful examples. In this context, we seek
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of this state-of-the-art facility, which is expected to be fully operational by 2035/2036 and will include advanced laboratories for diagnostics and research, cutting-edge biosafety systems, and complex technical
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spectroscopy, solid-state chemistry/physics. Excellent proficiency in English, both verbally and written. A hands-on mentality, not afraid to tackle complex experimental setups and challenges. The candidate
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in English, both written and spoken, with the ability to communicate complex ideas clearly; - who has experience with statistical programming (e.g., Stata, R); - who is motivated to study policy