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experience analyzing large datasets and experience conducting such research. Candidates are also expected to have fundamental knowledge and demonstrated experience with Machine Learning methods. Applicants
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: A good ability to develop and conduct high quality research. Teaching skills. Other qualifications: Knowledge and experience of solid-state batteries. Experience in materials characterization and
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the time elapsed since the doctoral degree was completed. Very good written and spoken English and very good knowledge of languages relevant to the proposed research project. Assessment criteria Good ability
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years before the last day for application. Under special circumstances the doctoral degree can have been completed earlier. Other requirements: very good knowledge of English, in speech and writing
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samples, including aspects of sample preparation and data analysis Good presentation skills (written & oral) Qualifications of merit: Knowledge of other synchrotron X-ray/IR techniques Knowledge of lab
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experience with, and knowledge of, cryo-electron microscopy (cryo-EM) for structural analysis of proteins and protein complexes. Practical experience with, and expertise in, protein expression and the
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before the application deadline. Additional Requirements: Strong knowledge of NMR and MS metabolomics; Strong communication and writing skills in English; Ability to work independently and collaboratively
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Qualifications of merit: Knowledge of time-resolved measurement and related data analysis Experience writing beamtime proposals Experience in Python programming
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, or similar. Good knowledge in programming (e.g. C or python) Experience in 3D image segmentation. Track record of producing high-quality research Documented pedagogical skills and pedagogical training
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no later than the time the employment decision is made Good ability to develop and conduct research of good quality, Pedagogical ability, Experience of interdisciplinary collaborations. Excellent knowledge