14 parallel-processing-bioinformatics Postdoctoral research jobs at UNIVERSITY OF VIENNA
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well as access to sequencing facilities, high-end computer clusters, and an imaging and electron microscopy core facility. Research in our group covers diverse invertebrate lineages, with particular strengths in
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, integrating structural, thermodynamic, and biophysical insights directly into your synthetic strategy. The lab offers equipment for parallel synthesis, and you will also engage with chemical and biological
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processes. Apply and further develop qualitative research methods (e.g., interviews, case studies, archival research) in the design, execution, and dissemination of international business research. Actively
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created social institutions (such as schools), as well as the educational and socialization processes in non-pedagogically institutionalized fields of social life (peer groups, milieus, media, etc
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language technologies, such as: Neural Machine Translation (NMT), LLMs, Computer-Assisted Translation (CAT), Terminology Extraction and Management, Quality Assurance; experience working with professional
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cultural history. You are in the process of developing an independent research profile. Your current research includes the preparation of a second monograph (habilitation thesis) aligned with the thematic
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cluster, three interconnected research pillars drive innovation: Sustainable Natural Resource Utilization Microbial and Enzymatic Conversion Process Circularity Your personal sphere of play: We are excited
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areas of the group include stochastic processes, mathematical finance, and probabilistic transport theory. Our ideal candidate already has experience with modern methods in probability theory
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) investigating single magnon excitation and detection using superconducting qubits. Support the operation and maintenance of the millikelvin dilution refrigerators in the Research Unit 'Nanomagnetism and Magnonics
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field of civil and commercial law) Very good written and spoken German Very good written and spoken English Excellent computer skills (MS-Office) Experience in working with databases High level of written