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for compositionally complex, defect-containing and structurally disordered crystalline materials. Develop, train, validate and benchmark machine-learned interatomic force fields for multicomponent inorganic energy
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organometallic chemistry and the synthesis of organometallic complexes. The candidate must be with the technologies for plastic recycling. The candidate must have good communication skills and experience in
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published in international peer reviewed journals. Understanding of the atmosphere and its modelling is essential. • Model development of WRF-Chem is complex. Documented experience using FORTRAN, C
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description The successful applicant will join our efforts to explore new types of nonthermal physics in strongly-correlated quantum systems. Such systems can display highly complex and unusual dynamics, and
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bioinformatic workflows, including diagnosing computational and analytical problems when established pipelines or software are not directly applicable. Experience working with complex, heterogeneous
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Laboratory, which investigates how post-translational modification (PTM) networks regulate protein function, genome stability, and cellular decision-making. The laboratory builds on internationally recognized
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and computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. What we offer The successful applicant is offered: Access
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international levels. Strong project coordination skills and the ability to ensure progress across complex, multi-stakeholder projects. The ability to work independently while contributing effectively
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for a researcher who can work independently with complex longitudinal data, contribute to a clearly defined publication pipeline, and engage in methodological discussions within a collaborative research