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Field
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This is a full-time post-doctoral position (1.0 FTE), initially for 1.5 years, and will be embedded within the UMC Utrecht AI-Lab initiative. Your primary focus will be the development of AI models
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for 1.5 years, and will be embedded within the UMC Utrecht AI-Lab initiative. Your primary focus will be the development of AI models for defect detection and process optimization of tissue constructs
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This position is embedded in the Medical UltraSound Imaging Center (MUSIC) of the Department of Medical Imaging of the Radboud university medical center. Within MUSIC we have ample experience in
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on landscape and farm context and design. This project, embedded in ReGeNL, will therefore investigate governance models and reward structures that allow ecosystem services to become a structural part of farm
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applied researchers, ensuring that theoretical insights directly inform device-level innovations. The position is embedded in the Intelligent Materials Theory group and will interact with researchers from
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Engineering at Maastricht University, and embedded in our Chemical Recycling research line. The position is embedded in a collaborative project with industrial and academic partners, giving you the opportunity
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of the Department of Circular Chemical Engineering (CCE) within the Faculty of Science and Engineering at Maastricht University, and embedded in our Chemical Recycling research line. The position is
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knowledge utilization. This position is embedded in Work Package 1 (WP1), which supports the entire DECIDE consortium in achieving its societal impact goals through integrated collaboration between academic
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of Engineering, embedded in the project COINTEND, working closely with research groups in Utrecht (HU), Nijmegen (Radboud and HAN), and Delft (TU). This position provides a unique opportunity to contribute
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of TU/e and shared through non-academic channels to reach a broader audience. As a PhD candidate or Postdoctoral researcher, you will be embedded in TU/e innovation Space and the Sustainability Office at