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proficiency in English. Solid knowledge and demonstrable experience in high-performance numerical simulations of turbulent reactive flows, including direct numerical simulation (DNS) and large eddy simulation
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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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characterization of defects in AlN and high-Al content AlGaN. Deep knowledge of semiconductor physics. Keen interest and/or experience in application of AI approaches. Knowledge of ultrawide bandgap semiconductors
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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