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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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) to conceptualize and quantify the controls of anvil extent and cloud feedback of tropical deep convection across scales. As a successful candidate, you will combine your expertise in deep convective processes with
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-reconstructions and observations, low-order data assimilation, or deep neural networks. A quantification of the impact of mesoscale and submesocale features is also expected. At a later stage, the successful
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-Boltzmann methods and their implementation, as well as high-performance computing experience. • A solid command of English in speaking and writing. Knowledge of German is not required. We offer: An exciting
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, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able
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high-fidelity qubit control and further ingredients for a shuttling-based architecture, using devices from academic or industrial fabrication. Key activities can include: Demonstration and experimental
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of porphyrins in conjunction with novel linker structures to affect a transformational advance in the molecular design and control of interfacial nanoconstructs with tunable electronic, photonic, biomedical, and
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of European networks of established researchers, postdocs, and graduate students working with monitoring data. Further, we provide an opportunity to contribute to the Synthesis Center on Freshwater
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programming languages such as C++ or Java - Excellent command of English - Very good writing skills - High engagement, high motivation, pro-active communication skills, and high social skills - This position is