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students. More information is available at: www.cs.aau.dk. The DESS group focuses on data-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning
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Assistant Professor position in Computer Science with a Focus on Interdisciplinary Data Science_3...
enable advanced analytics across disciplines. Experience in developing and deploying machine learning solutions is considered an advantage. Experience applying such solutions within digital humanities
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design to improve on-site waste management The development and implementation of initiatives that enhance waste sorting quality and documentation practices The application of analytical, computational, and
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of biosolutions and strengthen the bio-based economy. The Biofoundry is an important part of BRIGHT and ensures effective development and implementation of strain design procedures in our design-build-test-learn
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across the range of modules offered on the LISE BA and CCG MA programs, e.g. experience with courses on European politics, policy analytical approaches, European public spheres • Be able to assist with
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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Are you passionate about compression, analytics, and machine learning for the Internet of Things and can you contribute to the development, operation and support in cutting-edge projects in strong
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-Based Learning approach, the position also includes supervision of project groups and individual students. As part of the appointment, you are also expected to complete the university’s pedagogical
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analytical and communication skills Ability to work both independently and collaboratively in an interdisciplinary team Further, we will prefer candidates with some of the following qualifications: Experience
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support the PI in both the strategic and operational aspects of project execution. Has strong analytical skills (e.g. statistics and data analysis) and experience with qualitative research and/or survey