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Field
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transmission. The successful candidate will work on elucidating the regulation of these channels and developing and optimizing gene therapeutic approaches in mouse disease models to prepare for putative future
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the research, focusing on both component-level solutions and algorithm optimization. The chosen solution will typically be implemented on a microprocessor platform, with the possibility of using FPGA
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doctoral schools in the natural sciences and one in the humanities and social sciences as well as numerous smaller research training groups. Advising The consulting team of the Graduate Academy’s Service
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sensors, energy-efficient processing is central to the research, focusing on both component-level solutions and algorithm optimization. The chosen solution will typically be implemented on a microprocessor
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management are also encouraged to apply, especially if they have experience with numerical modeling and optimization methods. Further, candidates with a background in economics are also welcome to apply
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Description A PhD position is available at the Chair for Combinatorial Optimization headed by Prof. Nicole Megow (https://www.uni-bremen.de/en/cslog/nmegow) at the University of Bremen. The research
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utilise numerical techniques including the finite element method to describe biofluid flow and deformation in the human brain tissue. Parameters are inferred from clinical data including medical images
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), Multi-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization. Computer Networking: Resource-Constrained Networking (e.g., Internet
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principles as well as material properties of extremely thin silica membranes. In this project, you as a PhD candidate will carry out: detailed theoretical studies and optimization of light guidance in HCFs
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low alloy steels. To ensure their effectiveness, the project investigates how these barriers interact with hydrogen—studying uptake, diffusion, and mechanical performance—while also optimizing cladding