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Are you excited about pioneering experimental quantum computing? Do you want to be part of a world-class research environment developing the next generation of superconducting quantum processors? We
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applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include: Development and application of AI and machine
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project has a strong focus on developing and applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include
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-of-the-art neutron scattering techniques—key tools for exploring emergent phenomena in condensed matter systems. You will work at the forefront of experimental condensed matter physics, applying elastic and
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state-of-the-art experimental models with patient-oriented translational research and strong collaborations across KI, Swedish healthcare, and leading international research environments. We offer a
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proteins from discs into supported membranes to make aligned protein arrays for biosensor development, also remains to be studied in detail. This project will optimize the experimental workflow
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provide a significant contribution to the development of state-of-the-art electric drivetrains in industrial vehicles regarding modeling, design, and experimental aspects. The work includes development
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for this Postdoctoral researcher position will focus on one or more of following key areas, where proof of previous work with experimentally verified results is necessary: - Distributed robotic autonomy for embodied
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must be met no later than the time the employment decision is made. Demonstrated experimental experience in electrochemistry and electrocatalysis. Personal skills As a person, you are cooperative
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the experimental workflow to characterize lipid nanodiscs for membrane-protein studies and develop new knowledge about how polymer-stabilised nanodiscs can be self-assembled on surfaces. Pre-characterisation