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Your Job: Operando X-ray investigations of energy materials, with a focus on chemical hydrogen storage Design, development, and optimization of advanced sample environments and reactors for high
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quantum computers, which represent a promising path towards fault tolerant and scalable quantum computing. The project addresses a broad range of optimization problems relevant to both science and industry
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optimization of tailor-made endolysin variants using modern bioinformatic methods and tools. What you contribute General university entrance qualification Doctorate Very good English skills Knowledge of common
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preparation of Preliminary and Final Design Review Research in instrument development and detector optimization Contributions to RNO-G in its function as pathfinder experiment for IceCube-Gen2 About you: Ph.D
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by desorption, as well as crystallization and precipitation of Magnesium Ammonium Phosphate (MAP). These processes are tested and optimized on a pilot-scale wastewater treatment plant using real
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, probability, and statistical signal processing Familiarity with antenna array signal processing techniques Sound understanding of optimization methods and algorithms Proficiency in Python programming Proven
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beamlines. The Imaging Beamline P05 is optimized for micro- and nanotomography techniques with a strong focus on material science and life science applications. The full field nanoCT setup is one
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on bacterial and archaeal communities to investigate their temporal dynamics Assembly of defined synthetic microbial communities Development and optimization of workflows for the efficient bulk deposition
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optimization. Together with a dedicated partner from bioinformatics you will first survey pairs of drug discovery application problems and corresponding quantum algorithms, before you focus on promising
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learning, safety-critical control, probabilistic modeling, verification, or optimization; Excellent communication skills in English and the ability to work both independently and collaboratively in