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hardware and radio systems to distributed cloud platforms and applications. This broad expertise enables research that seamlessly connects connectivity, computation, and cloud-native design. To The Division
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the capabilities of fully digital Large Intelligent Surfaces. Subject description The research subject for this position is development of distributed processing strategies and algorithms for Large Intelligent
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of size-distributions, partition coefficients, stoichiometries, equilibrium versus kinetic traps, energy barriers, and elucidation of co-assembly structures over a range of length scales. The PhD student
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subject of research, which will be a teamwork involving close collaborations of the experiments, kinetic modelling, and computation fluid mechanics simulations. The new employee will have main task
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Subject description Over the past century, climate and land-use transformations have significantly altered ecosystems, shifted species distributions toward higher latitudes and altitudes, and
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interfaces, distributed hardware control, scanning tools for running experiments, and metadata harvesting, to meet the continuously evolving research requirements. You will join an open and friendly team of 20