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researcher to join our team working on neutron scattering and advanced technologies for quantum and magnetic materials. The project focuses on understanding magnetic structures and excitations using state
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description We are looking for a postdoctoral fellow with a strong interest in protein structure and self-assembly processes. Nature has chosen proteins as building blocks for many materials with remarkable
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molecular biology: Computational Biology and Bioinformatics, Microbiology and Immunology, Molecular Biology, Molecular Biophysics, Molecular Evolution, Molecular Systems Biology and Structural Biology. The
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circumstances, as well as clinical service or service/assignments relevant to the subject area. Meriting qualifications Experience in AI-based protein design or structure-based modeling Experience in plastic
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the armed forces, or other similar circumstances, as well as clinical service or service/assignments relevant to the subject area. Meriting qualifications Experience in AI-based protein design or structure-based
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structures. Our research areas include Ship Design, Marine Structures, Hydrodynamics, Maritime Risk Management, Maritime Operations, Underwater Technology, and Marine Renewable Energy, etc., within the field
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for you. We are looking for an ambitious, collaborative and structured person to join our team. In this role, you will take a leading position in advancing the material modelling of brain tissue. Your
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understanding and technical development of ships and offshore structures. Our research areas include Ship Design, Marine Structures, Hydrodynamics, Maritime Risk Management, Maritime Operations, Underwater
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causal inference with structural economic modelling. Subject area The subject area for this position is economics. Fields of specialization: Labour Economics – AI and the Economy; Econometrics – Structural
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on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing