105 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" positions at Nature Careers in Austria
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the "Apply now" button below, or using this link: https://academicjobs.univie.ac.at/datenabfrage/TT1025MPL01 Only applications submitted through the provided link, see above, can be considered. The original
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diffractometry, X-ray phase analysis, and X-ray structure determination, with an extent of teaching as required by the universities' collective bargaining agreement. Willingness to collaborate across departments
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), with a strong publication record in shotgun lipidomics. Profound knowledge of lipid structures and fragmentation rules. Solid understanding of the relevant concepts in mass spectrometry-based lipidomics
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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, ensuring a continuous linkage between basic research, application-oriented development, scalable manufacturing approaches, technology transfer, and societal impact. With a focus on sustainable organic and
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well as institutional and structural factors that shape educational paths. Our research is multi-perspective and interdisciplinary. It combines pedagogical, psychological and sociological approaches and examines
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Experience in participating in research projects Didactic skills / experience in e-learning IT skills Knowledge of university processes and structures is desirable Excellent knowledge of English (C1) GFL
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the administration of the institute, teaching and research Requirements: Completed Master's degree (or comparable degree) in computer science, mathematics, electrical engineering, information processing or a related
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light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we
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written and spoken English IT user skills Desireable knowledge is: Teaching experience / experience of working with e-learning Knowledge of university processes and structures Experience abroad Basic