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international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here
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workflow using big data and data science. The Analytics team is part of the Biofoundry and is providing reliable, accurate and high-throughput analytical services by means of state-of-the-art analytical
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Tenure-track Assistant/Associate Professor/Professor in Ecophysiology and Ecology Department of B...
methodologies. Further information For additional information please contact Head of Section for Aquatic Biology Professor Tenna Riis (tenna.riis@bio.au.dk) (position 1), Head of Section for Microbiology
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to archaeological data and fieldwork as well as Scandinavian Archaeology will be an advantage. Subject to funding, an associate professorship in open competition will be advertised following this three-year period
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. Key responsibilities • Plan and execute daily mission operations • Operate and develop the ground segment • Coordinate calibration/validation activities and assure data quality • Manage
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hardware-in-the-loop testing of integrated energy systems. The candidate is expected to have a solid understanding of system monitoring, experimental data management, and validation of thermal systems, as
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development section, specifically: Develop and maintain custom Python graphical user interfaces that enhance the usability of the group’s research tools. Optimize data workflows through efficient data
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research sections with around 320 highly dedicated employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and
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highly skilled and innovative Automation Specialist to meet the growing demands for advanced data handling and process automation, essential for data-driven discoveries and adherence to stringent research
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professional experience At least 5 years of hands-on experience as an entrepreneur or in building and operating digital products and technology startups, ideally within fintech, SaaS, data platforms, or AI