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intelligence, and high-performance computing to study metabolic networks and optimize microbes for biotechnological applications. The PhD project aims to predict the optimal compartmentalization of a production
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; - historical research techniques and archival studies or research techniques and academic writing; - historical methods (teaching of source genres, qualitative and quantitative methods; teaching of historical
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addition, the candidate should be experienced in applying various molecular techniques such as PCR- and NGS-based methods and fluorescence in situ hybridization as well as cultivation of slow growing
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. The EVSL stands for interdisciplinary collaboration with colleagues at the University of Vienna, the Austrian Academy of Sciences and numerous other national and international partners who cooperate in
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methods in Chinese Studies (with a cultural focus) Demonstrated knowledge of Chinese history, culture, and society Excellent English communication skills (written and oral, equivalent to C1 level) Advanced
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your personality: Master degree in technical fields; Excellent fluency in English (both verbally and in written), fluency in German is an advantage; good computer literacy and skills; strong
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, using methods of applied econometrics and increasingly also machine learning. Large data sets typically form the basis of our analyses. Thus familiarity and a certain expertise on these is also expected
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users and customers. Maintain calibrate and troubleshoot high-end mass spectrometers (e.g., LC-MS, GC-MS, MALDI_TOF and ICP-MS). Develop and optimize analytical methods for chemical, biochemical, and
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statistical methods for large data sets • Extensive experience with modeling complex epidemiological data • Ideally experience with RedCap • Experience in handling data from large consortia
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, teaching and administration. This is part of your personality: MA in the study field law Professional competence: Knowledge of especially Austrian tax law Methodological competencies: Jurisprudential methods