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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 27 days ago
seek a qualified postdoctoral researcher to design, fabricate, and test high efficiency superconducting nanowire single-photon detectors (SNSPDs) and detector arrays optimized for mid-infrared
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for the discovery of new physics experiments) Developing, benchmarking and advancing state-of-the-art AI-driven exploration, optimization, and search algorithms in extremely complex and enormously large spaces
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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close
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or heterogenous inorganic catalysts. The goal is to identify and optimize novel catalysts that can efficiently utilise solar energy by consecutively absorbing light with different wavelengths. Catalyst development
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collaboration with partners from WIAS or outside. What we offer: WIAS Berlin is a premier research institution known for its strength in optimization, optimal control, dynamical systems, and applied mathematics
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superstructures. Optimize NPL ligand shell structure in collaboration with TU Dresden to improve optical performance of NPL superstructures. Extend existing single-particle photophysical models of NPLs
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Iterative Algorithms: Optimization and Control.” About the Project The focus of the project is the analysis of iterative algorithms arising from time discretizations of nonlinear evolutions of various kinds
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Large-scale and in-depth characterization of optimized Channelrhodopsin variants for basic research in neuroscience and future optogenetic therapies Automated (Syncropatch384, Nanion) and manual patch
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Build and optimize workflows for analyzing biodiversity and entomological texts, focusing on functional traits, historical context, and geographic scope relevant to current environmental challenges
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Researchers: Ph.D. in Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent