39 machine "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in Denmark
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Department of Geosciences and Natural Resource Management and the Department of Computer Sciences at the University of Copenhagen, DHI A/S, and GEUS (The Geological Survey of Denmark and Greenland). The center
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with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction or a related field who enjoy making empirical, methodological, and technical contributions
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The Analytical Chemistry Group invites applications for a 4-year assistant professorship in machine learning–based non-target screening of contaminants, CECs and other complex chemical mixtures
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research
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or related fields (with the degree obtained no longer than four years before the application deadline. Exceptions can be made with documented career breaks eg parental leave, illness, mandatory military/civil
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dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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technologies Development and utilization of high throughput methods for characterizing and quantifying the physicochemical behavior of food macromolecules in complex matrices. Modelling and the use of machine
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reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop
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are at the core of anomaly detection and despite being a well-established field of research, these are still very much open problems. To this end, we are looking for candidates interested in developing new machine