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Study static spin structures and compute the dynamic (time-dependent) magnetization response, where the intermediate scattering function serves as the key neutron scattering observable Contribute
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- Ideally, knowledge of driving simulation software (e.g., SILAB) - Experience in the design, implementation, and evaluation of empirical studies - Ability to work in a team, structured approach to work, and
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and in a structured manner and demonstrate good collaborative skills. Training in either numerical model use and development, or in a quantitative approach to geosciences, is a requirement. Basic
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computational work involves protein structure prediction Publications in high impact factor journals Knowledge and experience in AMR, Artificial Intelligence in health and food systems Good laboratory skills
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: structured environments, such as the synthetic cells; environments with competing interaction partners; and systems with hybrid RNA-DNA duplexes. You should have a degree in a subject related to physical
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novel solutions use parts of these models for planning or control, but they do not take full advantage of the structured, layered information such graphs so far. Therefore, our project aims to tightly
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of employment The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff
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: Engineering design & CAE (e.g., structural/thermal/fluids workflows) Chemical and process industries (e.g. optimization, control, surrogate models) Related computational engineering problems where simulation
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, or molecular genetics. Experience with 3D genomics, single-cell genomics, and advanced imaging approaches (confocal and super-resolution microscopy). Expertise in proteomics, protein structure–function
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publications in bioinformatics analysis of large-scale biomedical data, e.g., omics, clinical, structural bioinformatics, other biomedical data, should be outlined in the CV Demonstrated skills and knowledge in