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Field
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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Programme? Horizon Europe Reference Number PR129500 Is the Job related to staff position within a Research Infrastructure? No Offer Description Description: The Energy Systems Analytics research department is
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component modeling and testing. Knowledge or classwork related to energy systems with design and computational model analysis using engineering software will be necessary. Demonstrated research capability and
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 5 days ago
technologies or IoT being advantageous. A background/knowledge in agriculture relevant to project focus will be desirable. Familiarity with digital twin modelling, remote sensing, and cloud computing is valued
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the EU Research Framework Programme? Horizon Europe - MSCA Reference Number DC7 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a Research Infrastructure? No Offer
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Demogrowth Project ("Analysis of the impact of Covid-19
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Josip Juraj Strossmayer University in Osijek School of Applied Mathematics and Informatics | Croatia | about 4 hours ago
29 Aug 2025 Job Information Organisation/Company Josip Juraj Strossmayer University in Osijek School of Applied Mathematics and Informatics Department Department Of Mathematics Research Field
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27 Aug 2025 Job Information Organisation/Company Helmholtz-Zentrum München Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 26 Sep
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computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
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effective for designing and optimizing applications for reconfigurable/spatial computing architectures (HW/SW co-design)- Extend or build simulation or modeling frameworks to support systematic exploration