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to work independently). You have solid knowledge of and experience with mathematical modeling, programming, and optimization techniques for planning applications. You possess strong didactic and
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building blocks, including sensor interfaces, amplification stages, multiplexing circuits, and data acquisition architectures for flexible electronics platforms. You will design and optimize readout circuits
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optimization. Furthermore, our activities are experimentally driven and supported by the COMMLab, the 6GSPACE Lab, the HybridNetLab, the QCILab, our SW Simulators, and our facilities. For further information
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for the production of specialty carbohydrates. You will be involved in enzyme characterization, reaction optimization and product purification. The work will be performed at the Centre for Synthetic Biology (CSB
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discovery project teams, owning strategy, prioritization, and key go/no-go decisions – from hit finding to early lead optimization, towards valorization Drive the integration of computational
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, the reliable prediction of fire propagation and optimization of resource deployment remains severely constrained. Five PhD students will perform research to meet FireRisk’s core objectives: - the development
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and deep learning techniques. About the role Your role will include: analyzing image-based plant phenotyping datasets (RGB, hyperspectral) designing and optimizing data analysis workflows for automated
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camera systems. The main goal of this PhD position is to develop a generalized differentiable optical propagation model and optimize the related optics for realizing an incoherent holographic camera system
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waste management pathways. The research will support process optimization and scale-up by assessing different feedstocks, operating conditions, and valorization routes for syngas and recovered materials
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representations of the radio environment limits the ability of networks to anticipate connectivity disruptions and optimize resource allocation proactively. This PhD project addresses these challenges through