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characterization in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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recruitment and supervision of future PhD students and postdocs. We seek applicants who: Hold a PhD in molecular biology, biotechnology, bioengineering, or related fields. Demonstrate enthusiasm for complex
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advancement and interdisciplinary collaboration, dedicated to solving the complex challenges of today's rapidly evolving engineering landscape. In line with our commitment to excellence and our mission
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for human control of complex robotic systems with high levels of agency and minimal cognitive effort. Short description: This project will develop novel AI algorithms to decode human intention from
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reconfigurable manufacturing systems. The methods will be co-developed and validated with several industrial cases. 2) Resilient planning, scheduling and operations of complex systems. This topic will pursue
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PhD Position on Systemic Change in STEM Education: Bridging Stakeholders to Create Shared Visions...
The STEM Education Research Center at the Department of Mathematics and Computer Science at the University of Southern Denmark (Campus Odense) offers a PhD scholarship on systemic change in STEM
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researchers, policymakers, industry partners, and farmers who translate complex data and modeling outcomes into practical insights. As the chosen candidate, you will be critical in contributing to the main
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researchers, policymakers, industry partners, and farmers who translate complex data and modeling outcomes into practical insights. As the chosen candidate, you will be critical in contributing to the main
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department at our web page and research portal. The primary responsibility of the position involves research in statistical and complex trait genetics, as well as teaching and supervising projects
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and European companies and international academic partners. The AI4OR group focuses on solving complex problems, which require high-level modelling, data analysis and management capabilities as