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the software that enables the success of the ELT’s first-light instruments, MICADO and METIS. Our group develops and maintains custom-written software that will simulate, process, validate, and store data from
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resource efficiency. At the heart of the cluster, three interconnected research pillars drive innovation: Sustainable Natural Resource Utilization Microbial and Enzymatic Conversion Process Circularity Where
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) and clouds You will develop novel methods and analysis tools for in-situ aerosol and cloud data using state-of-the-art techniques (e.g., image processing, machine learning) A significant fraction of the
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holding courses High level of written and oral communication skills Knowledge of university processes and structures Knowledge of the following is desirable: Experience with common operating systems and
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meetings) Active participation in VDS CoBeNe activities are highly valued in the selection process. Additional Information Benefits What we offer: The employment duration is 4 months. Job grading in
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the institution of kindergarten" project, in which the colleague being replaced is working. This involves processing oral language data from children and adults who speak German and Bosnian/Croatian/Serbian
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of the University of Vienna. This group is distinguished by excellent research in Visualization and Data Science, as well as applied research in Human-Computer Interaction and Machine Learning. The research objective
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; • Computer skills; • Ability to work in a team; Additional Information Benefits What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid. Inspiring working atmosphere: You
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will ensure the permanent operation of highly complex aerosol instrumentation You will contribute to the setup and operation of upcoming ACTRIS National Facility for aerosol in-situ at the University
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for the conceptualization, co-coordination and co-supervision of studies focusing on the effects of nutrition and aging-related alterations of the gut-liver-axis and inflammatory processes in different model organisms (e.g