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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals
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flexible, meaning that the postdoc will have the opportunity to design studies, in coordination with the PI, which align with the researcher’s interests and methodological skillset. The postdoc will also
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built into the design of platform tools, and state regulatory initiatives. Subscription platforms like Patreon or OnlyFans, fundraising platforms like Kickstarter, or donation tools built into video
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of Computer Science (CS) and Sustainability and Planning (PLAN). This position focuses on the machine learning methodology of the project, aiming to: Develop probabilistic spatio-temporal models that integrate
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innovation in engineering science. You will have access to state-of-the-art computing and lab facilities, and benefit from strong academic and industrial networks across Denmark and Europe. CIM is based
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Are you interested in real-time distributed systems, IoT connectivity, and AI-driven automation? The Department of Electrical and Computer Engineering at Aarhus University invites applications for a
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29 Oct 2025 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for Copenhagen Research Field
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determination methods (X-ray crystallography and single-particle cryo-EM) and a high-performance GPU computer cluster for structural biology. Your profile The successful candidate should have: A Ph.D. degree in a
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, XRD, Karl Fisher, and TAN. The ability to design and construct reactors using Swagelok type fittings is also desirable although not essential (technical assistance is available). Experience conducting