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the Gravimetric Atom-Interferometer (GAIN) - prepare, optimize and use GAIN for comparison measurement campaigns - improve GAIN by implementing new technologies which also enable new measurement modes and
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industry to employ quantum technologies to address challenges in, e.g., environmental protection and the optimal use of natural resources. Specifically, this project will use atom Interferometry
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 2 months ago
of melanoma immune regulation and immune checkpoint inhibitor (ICI) response Functional assays of neutrophils including migration, phagocytosis, and ROS production Optimization and standardization of neutrophil
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machines Machine Culture Ongoing work on social reinforcement learning and evolutionary optimization of social strategies Our aim is to advance the scientific knowledge of human-AI systems by understanding
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of electron-transparent TEM lamellae and specimens Operation and optimization of ultrafast laser systems (fs–ps range) and optical setups Characterization of electrostatic potentials and excited carrier
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the pyrolysis of plastic waste can be increased through the targeted use of reactive gases and catalysts. The aim is to identify optimal process conditions through systematic laboratory experiments using
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, colonization and persistence studies. Preferably hands-on experience with laboratory-scale fermentation and bioprocessing, including microbial cultivation and process optimization. Collaborative mindset with
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software • Team player with the ability to work independently Your project: • Develop and optimize co-culture lung models at the ALI (cell lines, primary cells, primary tissue). • Exposure of cells
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ammonia, dimethyl ether, methanol) to conversion and end applications. We develop and optimize processes and reactor concepts for the production of PtX products and for thermochemical hydrogen production
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ocean biogeochemical modelling in Earth System Models. The successful candidates will contribute to the development, integration, and performance optimization of a state-of-the-art modelling framework