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Field
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validate reproducible automated workflows for quantitative photophysical measurements to obtain optical spectra and quantum-yields. Implement AI methods to search in the parameter space that affects
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develop methods to correlate information across time, frequency, space and impedance. The aim is to identify interference sources and propagation paths and understand how disturbances spread through complex
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only laborious and time-consuming, but also cover only a miniscule fraction of the unimaginably large sequence space available. As a result, means to guide evolutionary trajectories along a biomolecule’s
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hours, a home office allowance, and the option to work from home. Freedom and space to shape your work independently and develop your ideas. A close-knit community of colleagues to collaborate and grow
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radars provide increasingly rich 3D information, opening the door to more advanced scene understanding and perception tasks such as 3D object detection and free space estimation. However, current neural
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resource acquisition trait parameter space, and perform scenario analyses tailored to a set of Swiss lakes. There will be close collaboration with the other PhD candidate and Postdocs of the projects
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to improve our understanding of landscapes as social-ecological systems and focuses on interventions that relieve the pressure on scarce space, improving the overall landscape quality. You will be supervised
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detection and free space estimation. However, current neural networks are typically developed for a specific radar configuration and task, and often generalize poorly to other sensors. At the same time, large
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space in packet switch chip assembly. Transparent optical switches allow the network to be upgraded in terms of data rate, modulation format and wavelength grid without having to replace the network
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learning paradigms. The framework will support rapid prototyping, automated design-space exploration, and cross-technology benchmarking, providing new insights into the co-design of learning algorithms