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The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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that significantly influenced public discourse. This project investigates these dynamics, including the flow and reception of information, to evaluate how they align with, or challenge established narratives about the
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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such as data scarcity, cultural sensitivity, inclusivity, and the need for robust preference optimization methods that go beyond standard fine-tuning. Key research objectives include: Developing Efficient
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researchers, policymakers, industry partners, and farmers who translate complex data and modeling outcomes into practical insights. As the chosen candidate, you will be critical in contributing to the main
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should hold a PhD degree in electrical engineering, aerospace engineering, mechanical engineering, computer engineering, computer science or similar. Required skills: Good programming skills in C
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atmospheric circulation patterns to determine conditions that reinforce Arctic-mid-latitude coupling in collaboration with the ArcticPush PhD student at Universtiy of Copenhagen. Design and conduct experiments
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hold a PhD in biotechnology, microbiology, or similar. The ideal candidate also has one or more of the following: Hands-on experience with the cultivation of anaerobic microorganisms (i.e. acetogens) and