183 web-developer-"https:"-"https:"-"https:"-"Newcastle-University" Postdoctoral positions in Denmark
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tasks will be to: Develop numerical/analytical models to study interior fluid dynamics within rigid and flexible containers, e.g., liquid CO2 tanks and closed fish cages, and compare with experiments by
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in international venues related to children and computing and/or artificial intelligence experience with software development or prototyping experience participating in national and international
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, or along the coast? DTU Aqua, Section for Coastal Ecology, invites applications for a one-year postdoctoral position focused on developing and applying monitoring workflows and geospatial tools to support
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of Energy Conversion and Storage (DTU Energy) focuses on research and development of functional materials, components, and systems for sustainable energy technologies. The technologies include fuel cells
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Further, we will prefer candidates with some of the following qualifications: Teaching and supervision experience at the BSc and MSc level Interest and experience in developing competitive national and
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of the multidisciplinary research project NeuroMate, which focuses on the development of intelligent assistive technologies based on brain-inspired computing. The overarching goal of the project is to
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to ecological monitoring. The successful candidates will help further develop analysis pipelines and implement next‑generation sensors for automated monitoring of insects across Europe. The positions are part of
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flexible, with a preferred start of September 1, 2026. Description The successful applicant will join the Historical Economics and Development Group (HEDG) , one of Europe’s leading centers for quantitative
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competitive Edge AI functionalities for smarter applications. In this context, the role of DTU is in designing and developing Embedded AI frameworks for resource-constrained edge applications. The selected
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play a central role in developing, evaluating, and interpreting deep learning models for multi-sensor satellite data, addressing challenges such as spatiotemporal learning, super-resolution, and model