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experience and skills: master's degree/engineering degree in artificial intelligence/computer science/applied mathematics; demonstrated abilities in research or problem solving tasks (public challenges, coding
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receptive to diversity in disciplines, cultures, ideas, nationalities, beliefs, preferences and worldviews. We believe that trust, respect, interest and differences lead to new insights and innovation
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into recycle, reuse, or manual-review streams. Iterative hardware-in-the-loop trials will drive rapid prototyping of gripper architectures and autonomy frameworks, thereby establishing a scalable blueprint for
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to support safe-by-design development of plant-based meat alternatives improving supply chain sustainability and limiting food waste. The novelty of the project relies on the development of multi-species
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public organisations operate and coordinate themselves and their relations with private parties in the construction industry. This PhD project aims to experiment with unique shared service centres
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PhD you will receive support and mentorship in the design and implementation of your PhD project. You will develop a training and supervision plan with your supervisory team and be part of the ReGeNL
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the most efficient manner is a core skill needed. Moreover, good communication skills, with various stakeholders of diverse background, is paramount. Required experience and skills: master's degree
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and technology institute that has the capability to analyze, explore and design new technologies that are based on the integration of fundamental and engineering sciences. A PhD position is available in
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experience with knowledge graph standards (e.g., RDF, OWL, SHACL); familiarity with GIS, geodata infrastructures and geo-analytical workflows some experience with AI and machine learning methods to label texts
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and technology institute that has the capability to analyze, explore and design new technologies that are based on the integration of fundamental and engineering sciences. A PhD position is available in