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: Within this international project, TU Delft will develop a machine learning-based forward operator to enable the assimilation of SAR imagery into the crop growth model. You will: Process SAR imagery over
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architecture to tape-out and characterisation, using suitable CMOS technologies. You will conduct electrical measurements and validate your solutions at robotic system level. Your research will combine
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apply. What we offer you The position concerns temporary assignment of 19 hours per week for a maximum term of one year starting January 1st 2027 as part of or in addition to your current employment
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all energy goes to thermal heating in the chemical industry — most of it still from fossil fuels, making it a major source of industrial CO₂. Electrifying these processes with green electricity is
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of Twente and Saarland University, funded under the DFG-NWO WEAVE programme. As a postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday
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Physics Informed Machine Learning method which exploits the advantages of physics-based and data-driven models, while mitigating the disadvantages. This research will contain experimental and modelling
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop
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The Leiden Institute of Advanced Computer Science (LIACS) at Leiden University is seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a
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, with a strong interest in the integration of geospatial Artificial Intelligence (AI) and machine learning. Are you enthusiastic about the chance to combine research in Remote Sensing and AI with teaching