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photonic components and integrated laser systems. The postdoc will develop and optimize fabrication processes enabling low-loss waveguides, high-Q resonators, and efficient nonlinear devices. The role
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sluice, which will then be used in a learning framework to design an automatic controller to optimize the usage of the sluice under various conditions. The other project will address challenges related
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Researcher position focusing on techno-economic optimization and feasibility assessment of carbon capture, utilization and storage (CCUS) integration and CO2 hub development at Nybro, Denmark. Starting date
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then be used in a learning framework to design an automatic controller to optimize the usage of the sluice under various conditions. The other project will address challenges related to Sustainable Water
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generation Developing and optimizing generative models for de novo binder design Collaborating closely with wet lab scientists who will express and test the designs that have been created Developing scalable
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to improve and optimize stem cell differentiation and manufacturing. As our new colleague you will be part of a diverse and multi-disciplinary team, which is engaged in machine learning and has a drive to make
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/MS experiments, with emphasis on negative ion mode Develop and optimize fragmentation strategies for peptide analysis under collisional- and electron-based dissociation regimes Investigate gas-phase