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Field
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of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period: START: 01/05/2024 END: 31/03/2027 Centre
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Whitespace’s evolution into a fully integrated, AI-powered municipal resource management solution provider for smart city local authorities, accelerating the transition to a circular economy. Whitespace
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become more adaptive, efficient and context-aware, creating the foundations for the next generation of wearable and augmented reality platforms. The research focuses on developing novel ML methods
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We are looking for a Research Associate to conduct the research for the project entitled “Manual Assembly Job Quality Inspection”. The role will focus on research and development of AI algorithms
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: Develop feedback interface to transmit useful information that is beyond human natural sensory channels. Design robot environment perception algorithms with multi-sensory feedback. Investigate optimal form
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industrial injection moulding using recycled plastics. Variability in material properties of recycled polymers poses significant challenges for consistent product quality. This project aims to develop adaptive
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in data processing, designing or developing computational algorithms for measurement data (preferred for plasma physics or HEP). Knowledge of Python, Matlab. Additional assets: Experience in laboratory
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EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites | Darmstadt, Hessen | Germany | 5 days ago
. In the EUMETSAT matrix organisation, the Remote Sensing and Products (RSP) division of the Technical and Scientific Support (TSS) department provides science support to the development and operations
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partners from ICube/Université de Strasbourg, RDP/ENS Lyon, and Inria Grenoble. The overall objective of the 4DPlants project is to develop new methods for the semantic and instance segmentation of time
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of machine learning fundamentals, with proven experience applying algorithms to solve problems in areas like NLP, Computer Vision, or on tabular data • Generative AI & LLMs: Hands-on experience developing LLM